Is a Master’s in Artificial Intelligence Worth It? Career Opportunities & Earning Potential

Seidenberg School of CSIS

AI specialist roles have grown 176 percent, and professionals with AI skills earn a 56 percent wage premium. But is a master’s in AI worth the investment? This guide breaks down salary outcomes, career paths, admissions requirements, and job market data to help you decide. It also compares the degree with bootcamps and certifications, covers when it may not pay off, and explores how Pace’s MS in AI prepares graduates through research, faculty mentorship, and NYC industry access.

Woman dressed in business attire sitting at a desk in front of a computer, looking at a book.
Woman dressed in business attire sitting at a desk in front of a computer, looking at a book.

Scroll through any tech job board right now and you'll notice artificial intelligence roles dominating the listings. The salaries are six figures, the companies are household names, and the number of open positions keeps climbing. With that kind of demand, a master's in AI might seem like an obvious next step. But a graduate degree is a serious commitment of time and money that leaves you wondering, “Is a master's in AI worth it?”

That’s a fair question. Graduate tuition can run into the tens of thousands of dollars, and two years of full-time study means two years of income you’re not earning. If you’re considering a career change, the stakes feel even higher.

This guide will help you evaluate the decision by looking at how much AI professionals earn, which roles are hiring, how fast the field is growing, and what a structured program actually teaches. We’ll also cover when the degree may not be the right move, because an honest answer requires looking at both sides.

Key Takeaways
  • AI-skilled workers earn a 56% wage premium, and AI specialist roles have grown 176% in recent years.
  • NYC metro salaries for AI roles range from $110,000 to $264,000 depending on the position and experience level.
  • A master’s degree is preferred or required for most senior AI positions, though some roles value experience and portfolios equally.
  • Pace University offers two STEM-designated AI master’s programs with research access, faculty mentorship, and direct connections to NYC employers.

What Is a Master’s in AI, and What Does It Prepare You to Do?

A Master of Science in Artificial Intelligence is a graduate degree focused on the theory, design, and application of intelligent systems. Students study machine learning algorithms, natural language processing, computer vision, robotics, and the ethical considerations that come with deploying AI in real-world settings.

The degree differs from adjacent programs in meaningful ways. An MS in Data Science emphasizes statistical analysis, data visualization, and business intelligence, and while data science shares some overlap with AI (particularly in machine learning and Python programming), its focus stays on interpreting data rather than building autonomous systems. An MS in Computer Science covers broader territory, from operating systems to software engineering, with AI as one possible concentration.

An MS in AI goes deeper into designing the systems themselves. Where a computer science degree covers breadth and a data science degree focuses on analysis, an AI degree trains you to build, train, and deploy models that learn and act on their own. The coursework centers on algorithm design, model architecture, and the engineering required to move AI from a research concept into a working product.

Most MS in AI programs are STEM-designated and take one and a half to two years to complete. Core coursework typically spans machine learning, deep learning, natural language processing (NLP), and computer vision, with electives or concentrations that allow students to specialize. Some programs emphasize research, while others take a project-driven, applied approach. At Pace University, for example, students can choose between a research-focused MS in Artificial Intelligence and a project-driven MS in Applied Artificial Intelligence with industry concentrations.

These programs serve various types of students, including recent college graduates looking to specialize, working professionals seeking technical depth, and career changers entering the field with a structured foundation.

Admissions Requirements for an MS in AI

Admissions requirements for MS in AI programs vary by school, but most share a common set of expectations. Understanding these requirements early helps you plan your application timeline and avoid last-minute surprises.

Most programs require a bachelor’s degree, ideally in computer science, engineering, mathematics, or a related STEM field. Some programs accept students from non-technical backgrounds and offer bridge or foundation courses to help them build the prerequisites. Application materials typically include a personal statement, a resume or CV, official transcripts, and letters of recommendation. Standardized test scores such as the GRE are required by some programs but optional at others.

Tuition, financial aid, and application requirements vary by school. The table below shows how Pace University compares to a typical program.

 Typical MS in AI ProgramPace University MS in AI
Tuition$15,000–$30,000 (public, in-state); $40,000–$80,000+ (private)$1,670 per credit ($50,100 total)
GRE RequiredRequired by some; increasingly optionalNot required
Application MaterialsPersonal statement, resume, transcripts, letters of recommendationPersonal statement, resume, transcripts (letters of recommendation optional)
Merit ScholarshipsVaries by institutionUp to $6,400 (automatically considered)
Financial AidAssistantships, federal loans, work-study (availability varies)Assistantships, endowed scholarships, federal loans, work-study, military benefits
STEM DesignatedCommon but not universalYes (up to 36 months OPT for international students)
Non-Technical BackgroundsSome programs offer bridge coursesFoundation courses in coding and database management available through the Applied AI track

Typical program data reflects common admissions patterns across U.S. MS in AI programs as reported by university websites and graduate admissions aggregators such as GradSchoolHub and U.S. News Graduate Rankings. Pace University data sourced from pace.edu.

Why Earn a Master’s in AI Now?

The market data behind AI hiring is very strong, and several indicators suggest that now is a particularly good time to invest in this degree.

AI and machine learning specialist roles have grown by 176 percent in economies like India and the UK, according to the World Economic Forum’s (WEF) Future of Jobs Report. In the United States, the Bureau of Labor Statistics projects 34 percent growth for data scientists and 20 percent growth for computer and information research scientists through 2034. Both rates far exceed the three percent average for occupations overall.

The scale of the market reinforces these projections. The global AI market is estimated at $757.58 billion in 2026 and projected to reach $3.68 trillion by 2034. That level of investment is drawing AI adoption into every sector. AI adoption now spans 100 percent of industries surveyed by the World Economic Forum, including sectors such as mining and construction that have only recently begun integrating AI into their workflows.

Employer behavior reflects this demand. The same WEF study found that 77 percent of employers plan to upskill their workforce around AI tools, and 86 percent expect AI to transform their business operations by 2030. Demand for AI fluency has grown sevenfold in two years, faster than any other skill category tracked in U.S. job postings.

For prospective students, these numbers point to sustained demand rather than a short-term hiring spike. The companies investing in AI infrastructure today will need trained professionals to build, manage, and improve those systems for years to come.

Salary Potential and Career Outcomes for MS in AI Graduates

AI professionals typically command higher compensation than other tech roles. Workers with AI skills such as machine learning, deep learning, and prompt engineering earn a 56 percent wage premium over peers in similar positions without AI expertise. In the New York metro area, where Pace University is located, compensation runs above national averages across all AI positions.

The career paths below represent common roles for graduates with an MS in AI.

RoleDescriptionSkillsNY Metro SalaryMaster’s Degree
Machine Learning EngineerDesign, build, and optimize models that learn from data and make predictions; take models from prototype to productionPython, TensorFlow, PyTorch, model optimization

Avg: $173,000

Range: $138,000–$221,000

Preferred
AI EngineerBuild and deploy intelligent systems at scale; handle model architecture, pipeline design, and software integrationSoftware architecture, ML pipelines, deployment

Avg: $175,000

Range: $137,000–$229,000

Preferred
Data ScientistAnalyze complex datasets to identify patterns and guide business decisions through statistical analysis and stakeholder communicationStatistics, Python, R, SQL, data storytelling

Avg: $166,000

Range: $128,000–$219,000

Preferred
NLP EngineerBuild systems that understand, interpret, and generate human language for chatbots, translation tools, and LLM developmentNLP, LLMs, computational linguistics

Avg: $158,000

Range: $131,000–$194,000

Preferred to required
Computer Vision SpecialistDevelop systems that interpret images and video for medical imaging, autonomous vehicles, and augmented realityImage processing, deep learning, CNNs

Avg: $186,000

Range: $143,000–$247,000

Preferred to required
Robotics EngineerIntegrate AI with hardware to create autonomous systems across manufacturing, logistics, and healthcareAI, sensor integration, mechanical design

Avg: $142,000

Range: $110,000–$185,000

Preferred
AI Product ManagerConnect technical teams with business strategy; define product requirements and guide AI products to marketProduct strategy, technical communication

Avg: $213,000

Range: $175,000–$264,000

Helpful, not required
AI Research ScientistAdvance AI through original research, algorithm development, and published findings at universities, labs, and tech companiesAlgorithms, publishing, advanced math

Avg: $203,000

Range:$167,000–$258,000

Required (often PhD)
AI Ethics SpecialistEvaluate fairness, transparency, and responsible deployment of AI systems for regulated industries and government agenciesPolicy, fairness auditing, governance

Avg: $128,000*

Range:$101,000–$163,000*

Preferred
Data EngineerBuild and maintain the data pipelines, storage systems, and infrastructure that AI teams rely onData pipelines, SQL, cloud infrastructure

Avg: $148,000

Range:$114,000–$190,000

Helpful, not required

Salary data sourced from Glassdoor, NYC metro area (2026). Ranges reflect 25th to 75th percentile. *AI Ethics Specialist data sourced from ZipRecruiter. Actual compensation varies by employer, experience, and industry.

The Expanding AI Job Market

The career paths above show what individual roles pay. But the hiring picture is broader than any single title. AI is changing how entire industries staff their teams, and that creates long-term flexibility for graduates who build strong AI foundations.

Five years ago, AI hiring was concentrated in a handful of tech hubs. That has changed. Healthcare systems, banks, government agencies, manufacturers, and media companies are all staffing AI teams, and they need people who can build and manage these systems across very different operating environments.

IndustryHow AI Is Used
HealthcareDiagnostic imaging, drug discovery, patient record analysis
FinanceFraud detection, algorithmic trading, credit risk assessment
GovernmentCybersecurity, logistics, public health surveillance
ManufacturingQuality control, predictive maintenance, supply chain optimization
MediaContent recommendation, audience analysis, automated production workflows

The numbers behind this expansion are significant. According to AI Statistics, AI is projected to create 97 million new jobs globally, against an estimated 85 million displaced. Skills demand in AI-exposed occupations is shifting 66 percent faster than in roles with low AI exposure, per the World Economic Forum. And the number of AI-related roles has doubled across nearly all industries since 2016.

The Bureau of Labor Statistics reinforces this outlook. Computer and mathematical occupations are projected to grow 10.1 percent through 2034, which is more than three times the average rate for the total economy. Data scientists rank as the fourth-fastest growing occupation nationally, and related research and engineering roles that include AI-focused positions also show well-above-average growth.

Additionally, new job categories are emerging alongside this growth. Roles such as prompt engineer, MLOps engineer, and AI solutions architect did not exist five years ago. According to MIT research, more than 60 percent of jobs held by U.S. workers in 2018 were in occupations that did not exist in 1940, and the pace of new job creation has only accelerated alongside advances in technology.

For someone evaluating a master’s in AI, these patterns offer reassurance. An MS in AI gives you a skill set that transfers across sectors and adapts as the technology develops.

MS in AI vs. Certifications, Bootcamps, and Self-Study

A master’s degree is one of several paths into AI, and each option serves a different career stage and goal. Here’s how they compare.

  • AI bootcamps vary widely in length and cost. Full-time programs typically run four to 16 weeks, while part-time options can extend to six months or longer, with tuition ranging from a few thousand dollars to $15,000 or more. They focus on practical skills and job placement, covering tools such as Python, TensorFlow, and basic model development. Bootcamps can be a strong entry point for career changers who want to move quickly into junior roles. However, they rarely cover the mathematical foundations, research methodology, or systems-level thinking that advanced AI positions require.
  • Online certifications from platforms like Coursera, edX, or Google offer focused skill-building at low cost. They work well for professionals who want to add a specific capability (such as prompt engineering or TensorFlow proficiency) without committing to a full degree. The tradeoff is limited depth and the fact that certifications carry less weight with employers hiring for senior or research-oriented positions.
  • Self-study through open-source materials, research papers, and personal projects is free and flexible. While self-directed learning can supplement formal education or help someone test their interest in the field, it typically lacks the structured mentorship, portfolio validation, and professional network that employers expect for mid-level and senior AI roles.
  • A master’s degree provides depth across all of these dimensions. It covers theoretical foundations (linear algebra, probability, optimization), builds applied experience through research and projects, offers career services and employer connections, and results in a credential that carries long-term recognition. For international students, a STEM-designated master’s also opens access to extended OPT work authorization in the United States.

The right path depends on where you are and where you want to go. If your goal is a narrow technical skill or an entry-level transition, a bootcamp or certification may be enough. If you’re aiming for research roles, senior engineering positions, leadership tracks, or international career mobility, a master’s degree can provide a stronger return.

When a Master’s in AI May Not Be Worth It

Here are situations where pursuing a master’s in AI may not deliver the return you expect.

  • Your target role prioritizes experience over credentials. If you’re aiming for a position focused on implementation rather than design (for example, a junior developer applying pre-built models), employers may weigh a portfolio of completed projects and practical experience above a graduate degree.
  • Your career goals are still undefined. Spending two years on a degree is a significant bet without a clear direction. Graduate school works well when you have a defined goal. Without one, gaining work experience first and returning to school once you understand which problems excite you may be the stronger path.
  • The financial math does not work. If tuition would create a strain without scholarship support, employer sponsorship, or manageable loan terms, the investment may not pencil out. Review financial aid options carefully before committing.
  • You already have deep AI experience. If you have years of hands-on AI work and a strong professional track record, the credential itself may add limited value. Senior professionals sometimes benefit from targeted certifications or executive education rather than a full master’s program.

None of these scenarios are permanent disqualifiers. They are timing considerations. The right time for a master’s in AI is when the investment aligns with a clear goal and a realistic plan to pay for it.

How Pace University’s MS in AI Prepares You for Career Success

Pace University’s AI master’s programs are built around technical depth, research access, and direct connection to the New York City job market. Here’s how the programs translate to career outcomes.

Two Programs, Two Approaches

Pace offers two graduate AI pathways through the Seidenberg School of Computer Science and Information Systems. The MS in Artificial Intelligence emphasizes research depth in machine learning, NLP, robotics, generative AI, and computer vision. The MS in Applied Artificial Intelligence takes a project-driven approach for professionals who want to implement AI in business environments, with concentrations in human-centric AI, data-centric AI, and computational intelligence. Both are two-year, STEM-designated, in-person programs with online options available for the Applied AI track.

Curriculum

Coursework maps directly to the hiring requirements for the roles listed earlier in this guide. Students in the MS in AI take courses such as Introduction to NLP, Pattern Recognition, and Advanced AI. Applied AI students take courses in Applied AI, Ethical Issues in AI, and Human-AI Interaction. The Applied AI program also accommodates students without prior technical backgrounds through foundation courses in coding and database management.

Research Access

Students work in three dedicated facilities: the Pace AI Lab, where faculty and students conduct training and research; the Robotics Lab, focused on autonomous systems and hardware integration; and the Augmented Intelligence Lab, which explores computer vision and human-computer interaction. Faculty-led research spans healthcare, education, and human-centered AI.

Faculty Expertise

The program is taught by researchers actively publishing and securing grants in AI.

  • Professor Juan Shan, PhD, applies machine learning to predict knee osteoarthritis progression in medical patients.
  • Professor Christelle Scharff, PhD, is a two-time Fulbright scholar who co-directs the Pace AI Lab.
  • Professor Soheyla Amirian, PhD, specializes in explainable, interpretable, and accountable AI.
  • In the Applied AI program, Professor Yegin Genc, PhD, directs the Augmented Intelligence Lab.
  • Professor Zhan Zhang, PhD, has built one of Pace's most distinguished research programs, securing more than $2.5 million in federal grants and becoming the first Pace professor to earn funding from both the National Institutes of Health and the National Science Foundation. He is also the first Pace faculty member to receive the NSF CAREER Award, one of the most prestigious honors for early-career STEM researchers.

New York City Location

Pace’s campus places students in one of the world’s largest technology and innovation markets. Graduates work at organizations such as:

  • Google
  • Amazon
  • Meta
  • Microsoft
  • JP Morgan Chase
  • IBM
  • Capital One
  • United States Department of Defense
  • OpenAI

Proximity to these employers means access to internships, career fairs, and professional events throughout the program.

Stem Designation and International Access

Both programs are F-1 visa eligible and STEM-designated. International graduates can apply for up to 36 months of OPT in the United States. The INSPIRE Program (International Student Professional Readiness Program) provides structured internship and career success support exclusive to Pace.

Career Services

Pace’s Career Services team offers resume development, interview preparation, and access to a job and internship database. This support begins in the first semester and continues after graduation. Ninety-six percent of Seidenberg graduates are employed, continuing their education, or pursuing service within one year of graduation.

Alumni Network

Pace’s global community includes more than 161,000 alumni across industries and geographies. That network opens doors to mentorship, referrals, and professional connections.

Admissions and Cost

Applicants submit a personal statement, resume, and official transcripts. Letters of recommendation are optional, and no GRE is required. Tuition is $1,670 per credit ($50,100 total). The program accepts students for fall, spring, and summer terms. Every admitted student is automatically considered for merit-based scholarships of up to $6,400, with additional aid available through graduate assistantships, endowed scholarships, federal loan programs, work-study, and military benefits including the GI Bill and Pace’s Veteran Tuition Scholarship.

How to Decide If a Master’s in AI Is Worth It for You

The answer depends on your individual circumstances. The following questions can help you work through the decision.

Does your target role require or reward a master’s degree?If you’re aiming for research positions, senior engineering roles, or leadership tracks in AI, the degree provides a clear advantage. If your goal is a junior developer position, practical experience may carry more weight.
Can you afford the investment?Review tuition, financial aid, and your expected post-graduation salary. At $50,100 for Pace’s program, the math improves significantly with scholarship support and the salary increases that AI credentials typically unlock.
Is the timing right?If you have a clear career direction and the financial resources to manage tuition, the current market offers strong demand and rising salaries. If your goals are undefined or your financial situation is uncertain, building work experience first may be the wiser path.
Does the program connect you to employers?Location, internship access, career services, and alumni networks all influence how quickly a degree translates into employment. Programs in markets with high concentrations of AI hiring offer a structural advantage.

No single answer fits everyone. But for professionals with a clear goal, a realistic financial plan, and access to a strong program, a master’s in AI is one of the higher-ROI investments available in graduate education today.

Consider Your Next Steps with Pace

The data behind AI careers is compelling. Roles have grown 176 percent in recent years, the global AI market is on pace to reach $3.68 trillion by 2034, and professionals with AI training consistently outearn their peers. For professionals with the right goals and preparation, a master’s in AI can accelerate both earning potential and career trajectory.

The value of the degree depends on the program you choose and the effort you bring. Look for a curriculum that matches hiring requirements, faculty who are active in research, career services that connect you to employers, and a location that gives you access to the market where you want to work.

Pace University’s MS in Artificial Intelligence brings those elements together: a curriculum aligned with current hiring requirements, faculty conducting funded research, and proximity to one of the country’s largest concentrations of AI employers.

Ready to take the next step? Request more information about Pace’s AI master’s programs today to get started.

Frequently Asked Questions

Is it worth it to do a master’s in AI?

A master’s in AI is worth it for professionals targeting research, senior engineering, or leadership roles in the field. AI-skilled workers often earn a higher wage premium, and AI specialist roles have grown by 176 percent in recent years. The investment pays off when paired with a clear career goal and a program that provides hands-on research, employer connections, and a recognized credential.

Will a master’s in AI help me get a job?

A master’s in AI can significantly improve your job prospects, particularly for competitive positions. Three out of four employers prefer master’s-level candidates for AI roles, and the Bureau of Labor Statistics projects 20 percent growth in AI and machine learning positions through 2034. A strong program also provides internship access, career services, and a professional network, all of which support job placement.

What’s the average salary with an AI master’s?

The average salary for professionals with an AI master’s degree varies by role, but AI engineers in the New York metro area earn an average of $175,000 per year, and AI research scientists average $203,000 per year, according to Glassdoor. Compensation depends on role, industry, and experience level. See the career paths section above for role-by-role breakdowns.

Is a master’s in AI worth it for career changers?

A master’s in AI can be a strong investment for career changers, because structured programs build technical foundations, portfolio work, and professional connections that self-study alone rarely provides. Pace University’s MS in Applied AI accommodates students without prior technical backgrounds through foundation courses in coding and database management.

How long does an MS in AI take to complete?

An MS in AI typically takes one and a half to two years to complete as a full-time student. Pace University’s program is designed as a two-year, in-person program with fall and spring start dates.

What careers can you pursue with a master’s in artificial intelligence?

A master’s in artificial intelligence prepares graduates for roles including machine learning engineer, AI engineer, data scientist, NLP engineer, computer vision specialist, robotics engineer, AI product manager, AI research scientist, AI ethics specialist, and data engineer. See the career paths section above for salary ranges and the skills each role requires.

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Pace Faculty Research Advances HIV Prevention for Young Women

College of Health Professions
Research and Scholarship

Pace University College of Health Professions faculty members Erica L. Gollub and Marie Lourdes Charles are advancing global health equity through research on the PrEP dapivirine ring, a discreet HIV prevention tool designed to expand choice and autonomy for young women.

Young mother walks with her baby in the gardens of the Baha’i House of Worship, Uganda
Young mother walks with her baby in the gardens of the Baha’i House of Worship, Uganda
Alyssa Cressotti
Image
Marie Lourdes Charles posing for the camera.
Marie Lourdes Charles, EdD, RN-BC, FNYAM

For adolescent girls and young women in sub-Saharan Africa, HIV prevention is not simply a matter of medical access. It is shaped by stigma, gender norms, family dynamics, provider attitudes, transportation barriers, health policy, and whether a prevention tool fits the realities of daily life.

That is where research led by Pace University College of Health Professions faculty members Erica L. Gollub, DrPH, MPH, professor of health science, and Marie Lourdes Charles, EdD, RN-BC, FNYAM, associate professor of nursing, are making an important contribution. Their work highlights two essential forces in global public health: health care providers as the bridge between innovation and access, and global research rooted in meaningful local partnerships.

Their study, “‘Some people fear injection and others don’t want to swallow tablets, while others forget’: Health care provider perspectives on the PrEP (dapivirine) ring in rural Uganda (‘ProPrEP’),” examines how health care providers understand and respond to the dapivirine vaginal ring (DVR), a monthly, user-controlled HIV prevention method. The full research team includes Gollub and Charles of Pace University; Esther Nakyaze of Catholic Relief Services; and Drs. Marc Sklar and Murokora Daniel of Babies and Mothers Alive Foundation.

Adolescent girls and young women are central to this study because they remain among the populations most disproportionately affected by HIV. In sub-Saharan Africa, they account for more than 60 percent of adults living with HIV, and one in four new HIV infections occurs among women ages 15–24, despite the fact that they make up only 10 percent of the population. In Uganda, that gender disparity is especially clear: HIV prevalence among young women ages 15–24 is 2.9 percent, compared with 0.8 percent among young men. Those numbers underscore why prevention tools must be designed not only to work medically, but also to fit the social, cultural, and practical realities of young women’s lives.

“The research that we do anywhere is going to support women getting access to HIV tools everywhere."

Charles and Gollub recently presented their work as part of Pace’s annual conference hosted by the Office of Research and Graduate Education, an opportunity to share research that sits at the intersection of public health, nursing, global health equity, women’s autonomy, and implementation science.

Image
Erica Gollub posing for the camera.
Erica L. Gollub, DrPH, MPH,

The study focused on 60 health care providers in the Rakai and Kyotera districts of rural Uganda, including nurses, midwives, and community health workers. Through focus group discussions, the researchers explored provider perspectives on the DVR’s potential benefits, barriers to use, and the education needed to support adolescent girls and young women.

For Gollub, who has spent decades working in HIV prevention, the urgency is clear.

“HIV prevention needs are critical among the population of adolescent girls and young women worldwide, but particularly in sub-Saharan Africa,” she says. “It’s one thing to have tools and medications to prevent HIV infection. It’s another thing to be able to have them be used.”

The distinction between availability and real-world use is at the heart of the research. In public health, innovation only matters when people can access it, trust it, and use it. The DVR offers a discreet, nonhormonal option that women can insert themselves and use for one month at a time. Because it is not a daily pill, does not require frequent injections, and can be used privately, providers in the study see strong potential for the ring to reduce stigma and expand prevention options.

Gollub describes the ring as “revolutionary,” particularly because it gives women a prevention option that is largely in their own hands.

“It does put control in the hands of women for the very first time in a really meaningful way,” she says.

That control matters. Both Gollub and Charles emphasize that women’s HIV risk is often tied to broader issues of power, autonomy, and gender inequality. In many contexts, young women may not be able to negotiate condom usage, openly seek sexual health services, or disclose that they are using HIV prevention.

Charles notes that provider buy-in is especially important in communities, particularly patrilineal ones, where health care workers hold significant authority and power. In that sense, providers are not simply delivering a new method, they are the bridge between a promising biomedical innovation and the women who may benefit from it.

“You’re talking about a society that does not question authority,” she says. “Therefore, if the provider does not embrace the treatment, they will not pass it on.”

The study finds that providers are enthusiastic about the ring as an additional HIV prevention option, particularly because it may address some barriers associated with existing PrEP methods. Providers cite concerns that some people fear injections, others dislike swallowing tablets, and others forget to take daily pills. They also see the ring’s privacy as a major advantage for young women who may fear stigma from partners and parents, or community members as a whole.

At the same time, providers identify real implementation challenges, including community misconceptions, partner resistance, supply issues, policy barriers around sexual health education, and the need for provider training. The study also finds that male involvement is critical. Although the ring may offer women more autonomy, providers emphasize that educating men and gaining their support could help reduce resistance and improve uptake.

“One thing that came out was that we need men. We need their buy-in,” Charles says. “No matter how we circle it, how we approach it, men still have a say in this conversation.”

That insight reflects the complexity of global public health work: successful uptake requires more than a product. It requires trust, education, cultural awareness, and partnership. The research shows that health care providers can play a pivotal role in translating scientific progress into community-level impact.

“One thing that came out was that we need men. We need their buy-in,” Charles says. “No matter how we circle it, how we approach it, men still have a say in this conversation.”

The project also demonstrates the strength of interdisciplinary collaboration at Pace’s College of Health Professions. Gollub brings expertise in HIV/AIDS epidemiology and public health, while Charles brings deep experience in nursing, community health, and global health education. Together, they partnered with Babies and Mothers Alive Foundation, a Ugandan-led organization focused on reproductive, maternal, and newborn health.

That local partnership was central to the project’s success. Rather than approaching the work as outside researchers entering a community, collecting data, and leaving, the Pace faculty collaborated with partners who understood the local health system, the providers, and the communities involved.

“We really worked with an ongoing collaboration with that site,” Gollub says. “We all put in different skills, and we made this wonderful mosaic.”

Charles describes the experience as a learning opportunity on both sides.

“In the process, we learn what it takes to do global study,” she says. “Each side learned something.”

That collaborative approach is central to the impact of the work. By listening to providers already embedded in local health systems, the research identifies practical steps that could improve training, counseling, outreach, and policy as the PrEP ring becomes more widely available.

The implications extend beyond Uganda. As Gollub notes, research in one setting can inform HIV prevention for women globally, including in the United States.

“The research that we do anywhere is going to support women getting access to HIV tools everywhere,” she says.

For Pace, the study is a powerful example of faculty research that connects public health innovation with real human need. It reflects CHP’s commitment to socially responsive, globally minded health education and to preparing health professionals who understand that improving care means understanding people, communities, and systems.

Charles puts the global stakes simply: “What happens to your neighbor eventually happens to you.”

Through their work, Charles and Gollub are helping ensure that more women have access not only to HIV prevention tools, but also to choices, information, and support. In global health, that is a major win.

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Seidenberg Professor and Pace Student Researchers Earn Top Honor at Leading Health Informatics Conference

Seidenberg School of CSIS

Pace University professor Zhan Zhang, PhD, received a Best Paper Award for innovative AI research in health informatics.

Seidenberg professor Zhan Zhang posing in front of medical equipment
Seidenberg professor Zhan Zhang posing in front of medical equipment

Zhan Zhang, PhD, Associate Professor and Director of the Human Centered Design program at Pace University’s Seidenberg School of Computer Science and Information Systems, received the Best Paper Award at the 14th IEEE International Conference on Health Informatics (ICHI), a flagship conference in the field of health informatics, for their research exploring how artificial intelligence can support decision-making in emergency medical services.

The award-winning paper, Promise and Caution: Mapping Opportunities for AI Decision Support in Emergency Medical Services, examines both the opportunities and challenges of integrating AI into emergency care. Co-authored by Pace student researchers Vanessa Fechi Agbugba, Enze Bai, and Sian Billings, along with collaborators from Southern Methodist University and the University of Colorado, the research seeks to identify where AI technologies can meaningfully support emergency care providers while ensuring that solutions remain practical, trustworthy, and aligned with real-world clinical workflows. As healthcare organizations increasingly explore AI-powered tools, the study offers important insights into how these systems can be designed to enhance care without disrupting the fast-paced realities of emergency medicine.

The recognition is particularly significant, as the Best Paper Award is typically reserved for the conference's top research contributions, highlighting the impact of the team's work in advancing the fields of AI and health informatics.

“Emergency care providers work in some of the most challenging and time-sensitive environments in healthcare,” said Zhang. “Our research focuses on understanding how AI can support their decision-making in ways that fit naturally into their workflow. Ultimately, the goal is to develop technologies that improve efficiency, reduce errors, and help providers deliver the best possible care to patients.”

The award-winning research reflects Zhang's broader focus on human-centered AI for healthcare, an area that has become increasingly important as hospitals and healthcare providers evaluate how artificial intelligence can be integrated into patient care. Rather than treating AI as a replacement for clinical expertise, Zhang's work emphasizes the development of workflow-compliant, easy-to-use, and interpretable systems that support healthcare professionals in making informed decisions during time-sensitive situations.

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Dr. Zhan Zhang with fellow winners holding a Best Paper Award
Zhan Zhang, PhD (second from the right), with his Best Paper Award

In addition to the award-winning paper, Dr. Zhang presented a second full paper at the conference, Pseudocode Generation from Clinical Protocol Flowchart using Large Vision-Language Models. The research investigates how advanced large vision-language models can help translate complex clinical protocols (e.g., flowcharts) into computer-executable pseudocodes that support the development of clinical decision support tools, a process that has traditionally required significant manual effort. Together, the two papers highlight different aspects of a shared goal: leveraging artificial intelligence to improve the delivery of emergency care.

The conference recognition builds on a series of notable research accomplishments for Dr. Zhang. Over the past several years, he has built one of Pace University's most distinguished research programs, receiving more than 2.5 million federal grants and becoming the first Pace professor to secure grants from both the National Institutes of Health and the National Science Foundation. He is also the first Pace faculty member to receive the NSF CAREER Award, one of the most prestigious awards for researchers in STEM fields. His federally funded research has evolved from wearable technologies and smart glasses designed to improve communication between emergency medical service providers and emergency department physicians to AI-powered clinical decision support systems that help healthcare professionals make more informed decisions in high-pressure environments. More recently, his NSF Research Experience for Undergraduates supplement grant has expanded opportunities for Pace students to participate directly in cutting-edge healthcare technology research while contributing to projects with real-world applications.

The recognition also highlights Seidenberg's growing impact in applied artificial intelligence research. Through collaborations with students, academic partners, and healthcare organizations, faculty researchers are advancing solutions to complex societal challenges while providing students with opportunities to contribute to meaningful, cutting-edge research.

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Meeting Patients Where They Are

College of Health Professions
Research and Scholarship

Jennifer Winter, NP, a women's health nurse practitioner and doctoral student at Pace University's College of Health Professions, is using short social media-style videos to close a persistent gap in STI knowledge among young females, a population she has treated in clinical practice for more than two decades.

Two young women sitting on the grass and looking at their smartphones.
Two young women sitting on the grass and looking at their smartphones.
Alyssa Cressotti
Image
Jennifer Winter posing for the camera.
Jennifer A. Winter, NP

For Jennifer A. Winter, NP, the inspiration behind her doctoral research was never abstract. As a women's health nurse practitioner at University Hospital in Newark, New Jersey, Winter has spent more than twenty-five years delivering diagnoses that, in her view, should never have come as a surprise.

"Countless times it is knowledge that is missing," she said. "They unfortunately find out about many of the sexually transmitted infections after diagnosis, which ideally I want them to know about before they engage in intercourse."

Winter is a doctoral student in Pace’s Doctor of Philosophy in Nursing program at the Lienhard School of Nursing within the College of Health Professions, where she is conducting research under the mentorship of Sharon Stahl Wexler, PhD, RN, FNGNA, FNYAM, professor and chair of the PhD in Nursing program. Her study, "Assessing Knowledge of Sexually Transmitted Infections Among Biological Females Ages 14-24," examines whether short, social media-style videos can meaningfully increase STI knowledge and shift risk perception among a population that is both highly vulnerable and highly connected.

The study uses a longitudinal design in which participants complete a standardized knowledge assessment, the STD-KQ, before and after viewing a series of short educational videos. Follow-up assessments are conducted at six weeks, three months, and six months. The research also explores how social determinants of health influence knowledge retention and the overall effectiveness of video-based health interventions.

The logic behind the format is straightforward. Winter observed that the vast majority of her patients, particularly those in the fourteen-to-twenty-four age range, are active on Instagram, YouTube, and TikTok. Rather than ask young people to seek out health information through unfamiliar channels, she designed content that fits naturally into the media they already consume.

"I believe in meeting a patient where they are," Winter said. "If that is a format that resonates with them, then it may make sense to meet them where they are."

She developed three videos, each just a few minutes long, tailored to different ends of the age range. For younger adolescents, the content draws on animation and peer-facing entertainment. For participants in their early twenties, the videos are more direct and text-forward, reflecting research showing that older members of this cohort increasingly turn to social media as a primary source of health information. One video features a recurring character named Cosa, an acronym for "condoms on when sexually active," designed to make the core prevention message both memorable and portable.

"If I can at least entertain you, I am getting your attention," she said, "and hopefully you will listen to the message and think about it."

Early results from a focus group were encouraging. Participants described the videos as entertaining, and Winter noted that several members of the group could still recall specific content and characters well after viewing.

"If I can at least entertain you, I am getting your attention," she said, "and hopefully you will listen to the message and think about it."

The research also addresses persistent misconceptions that Winter encounters regularly in clinical practice. Among the most common: the belief that sexually transmitted infections require penetrative intercourse to spread.

"Some sexually transmitted infections can be transmitted just through skin-to-skin contact," she said. "The thought being, ‘if my partner does not ejaculate in me, then I cannot get pregnant or get an STI.’ That is far from the truth."

Winter situates these knowledge gaps within a broader structural problem. The United States has no federal mandate for comprehensive sexual health education, leaving curriculum decisions to individual states and, in many cases, individual school districts. Her research has confirmed what her clinical experience long suggested: that the depth of a young person's sexual health education is heavily shaped by geography, and that the states with the highest STI and unintended pregnancy rates are frequently the same ones with the least consistent educational requirements.

"Where a young adult or adolescent lives does influence their exposure to STI resources and education," she said.

The videos will be available in both English and Spanish, and all study instruments have been translated accordingly, reflecting the linguistic diversity of Winter's patient population in northern New Jersey.

Winter expects to defend her dissertation in the fall. She credits Professor Wexler and her advisor, Professor Lin Drury, PhD, RN, FNGNA, FNYAM, along with her cohort and the resources of the Pace University library system, with helping her navigate the demands of doctoral study alongside a full-time clinical practice and raising fourteen-year-old twins.

"As a clinician, I think it is imperative, to be the best practitioner, to learn," she said. "This is just another way of me learning and improving patient care."

Learn more about Pace’s Doctor of Philosophy in Nursing program.

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Faculty and Staff

Christen Cooper, EdD, RDN, chair and founding director of Pace’s MS in Nutrition and Dietetics program, is advancing a compassionate, interdisciplinary approach to care—exploring how trauma-informed nutrition can support survivors of human trafficking and prepare future dietitians to recognize, respond, and help heal.

In the Media

College of Health Professions Professor Michele Lucille Lopez writes in My American Nurse about the growing problem of incivility and unsafe working conditions in nursing education. Professor Lopez argues that stronger institutional support, clearer policies, and a renewed culture of respect are needed to address faculty burnout and strengthen the future nursing workforce.

In the Media

In a segment on News 12, CHP’s Lienhard School of Nursing hosted “Paws with a Purpose” highlighting the role of service dogs and the individuals they support. Through the Canines Assisting in Health (CAsH) program, nursing students led interactive demonstrations addressing common misconceptions and real-world challenges that service dog teams face.

Related Profiles

A Legacy of Justice: Professor Randolph McLaughlin and Judge Malaika N. Scott-McLaughlin

Elisabeth Haub School of Law

Judge Malaika N. Scott-McLaughlin ’09, a Civil Court Judge for the City of New York, was no stranger to the legal world growing up. As the daughter of Professor Randolph McLaughlin, a renowned civil rights attorney and longtime member of the faculty at the Elisabeth Haub School of Law at Pace University, she spent a lot of time observing him in the classroom teaching and in practice advocating.

Randolph McLaughlin and Judge Malaika N. Scott-McLaughlin pose together
Randolph McLaughlin and Judge Malaika N. Scott-McLaughlin pose together

Judge Malaika N. Scott-McLaughlin ’09, a Civil Court Judge for the City of New York, was no stranger to the legal world growing up. As the daughter of Professor Randolph McLaughlin, a renowned civil rights attorney and longtime member of the faculty at the Elisabeth Haub School of Law at Pace University, she spent a lot of time observing him in the classroom teaching and in practice advocating. “By the time I started law school, I was very familiar with the concept and what to expect,” said Judge Scott-McLaughlin. When she enrolled at Haub Law, she began as a part-time student, taking on additional summer courses to transition into a full-time second year student.

She describes her time at the Law School as a “normal law school experience,” full of the challenges and growth typical of law school. Following her graduation in 2009, Judge Scott-McLaughlin served for ten years as a court attorney for the New York State Unified Court System. “Working as a court attorney was a great training ground for learning about litigation,” she shared. “I worked with some wonderful jurists as a new court attorney and I gained insight into what being a judge entails, how to manage a court calendar, how to manage cases, and how to deal with litigants who come before the court.”

Today, as a judge, she brings that insight into the courtroom. “Litigation is a long process, with many steps, and it is very multifaceted. It can be difficult to manage for a litigant appearing without counsel. I try my best to explain the process to litigants and help manage their expectations about the various paths the case could take.”

For Professor McLaughlin, his path to law school began in middle school. He recalls learning about the work that civil rights lawyers had engaged in, fighting segregation and representing activists and he was inspired. “My passion for justice drives my passion for civil rights,” shares Professor McLaughlin. “I hate bullies and those who abuse power. My career has been devoted to standing with the marginalized and representing victims of discrimination and hatred.”

Professor McLaughlin’s passion led him not only into civil rights litigation – including a historic case against the Ku Klux Klan recently featured in an award-winning documentary – but also into academia, where he continues to inspire future generations of law students. “Teaching affords me the opportunity to make contributions to the law, through litigation and scholarship, and to the next generation of lawyers, who are hopefully inspired to engage in this important work in their own communities.”

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Professor Randolph McLaughlin standing with daughter Judge Scott-McLaughlin

Professor McLaughlin never pushed his daughter towards law school and was surprised, yet pleased, when she decided to pursue a career in law. “Since Malaika went on to the bench, I have had many discussions with her concerning how she handles cases and makes decisions,” shared Professor McLaughlin. “Having always been a litigator and never a judge, these conversations gave me insights into how judges struggle to make the right decisions in their cases. It has also helped me to see the judiciary not just as decision-makers, but as lawyers trying to reach a fair and just result.”

For her part, Judge Scott-McLaughlin describes her father as her greatest sounding board. “My father has practiced law for almost 40 years and has a tremendous amount of experience,” she shared. “One of the many lessons I have learned from him is to always keep on your tap dancing shoes because you never know when you will have to pull out the old attorney razzle-dazzle. Also, put out good work and treat people with respect and dignity.”

Just as Professor McLaughlin has gained insight into a judge’s perspective, Judge Scott-McLaughlin describes the compassion she has come to feel for litigants and litigators as well. “One of the lessons I have learned from watching my father litigate civil rights cases is that litigants go through a lot before they come through the doors of the courthouse and decide to file a claim—whether they are pro se or have counsel. It can take courage and bravery for the litigant. It is not easy to be a litigator either. There is tremendous work the attorney must do before the case is ready for trial. So, when litigants appear in front of me, I keep that in mind and try to handle each case with thoughtfulness, compassion and respect.”

Professor McLaughlin is honored by the legacy he sees continuing through his daughter. “Public service is something I was always committed to, and it is humbling to see that same passion for the greater good in my daughter. We share the desire to help others, and I couldn’t be prouder.”

Rounding out the family’s legacy at the Law School is Professor McLaughlin’s wife, Debra Cohen, a distinguished alumna of Pace Haub Law and a long-serving adjunct professor. Professors McLaughlin and Cohen also co-chair the Civil Rights Practice Group of Newman Ferrara LLP in Manhattan. Beyond their professional commitments, the family enjoys spending time together with their larger extended families.

“We are a Star Wars and Marvel family – with a little Wicked mixed in,” shared Judge Scott-McLaughlin. “We really enjoy watching these films and others together.” Summers are often spent vacationing in Montauk, where the family gathers for memorable evenings and large dinners. With so many legal minds around the table, conversation is never dull. “Our family dinners are full of spirited discussion—whether it’s dissecting the latest blockbuster or debating a hot legal issue, absolutely nothing is off the table!”

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Celebrate Setter Supporter Season 2026

New York City
Westchester

Reconnect with your student and experience the best of Pace this October—from campus events and athletics to Broadway shows and local adventures in Westchester and New York City.

Trees with bright red, orange, and yellow autumn leaves surround a calm pond, with sunlight casting shadows on the grass.
Autumn trees with red, orange, yellow leaves around a calm pond in sunlight.

October is the perfect time to reconnect with your student and experience all that Pace has to offer. Setter Family Season is your opportunity to celebrate Pace Pride while making lasting memories together. From campus traditions and athletic matchups to discounted Broadway shows, local attractions, and seasonal favorites in Westchester and New York City, there’s something for every family. Plan your visit, join your student on campus, and discover what makes the Pace Community so special.

New York City Campus Events Pleasantville Campus Events See Nearby Hotels

For more information, contact Pace’s Center for Student Engagement.

New York City Campus

Weekend of October 3 through October 5

Friday, October 3

  • Van Gogh’s Flowers: Immerse yourself in a breathtaking floral tribute at the New York Botanical Garden.
    Reserve your spot today.
  • Ghost Tours: Stroll through haunted New York and uncover spine-tingling secrets.
    Book your ghost tour.

Weekend of October 10 through October 12

Saturday, October 11

Sunday, October 12

Weekend of October 17 through October 19

Saturday, October 18

Sunday, October 19

Weekend of October 24 through October 26

Saturday, October 25

  • Broadway: Buena Vista Social Club: Tells the story of the legendary Cuban musicians, weaving together their lives in 1950s Havana and their eventual reunion to record the Grammy-winning 1997 album.
    Get your Broadway tickets.
  • One World Observatory: Elevate your weekend with jaw-dropping views.
    Reserve your time at the Observatory.

Sunday, October 26

Pleasantville Campus

Weekend of October 2 through October 4

Friday, October 2

Saturday, October 3

Sunday, October 4

Weekend of October 9 through October 11

Friday, October 9

Saturday, October 10

Weekend of October 16 through October 18

Friday, October 16

Saturday, October 17

Sunday, October 18

Weekend of October 23 through October 25

Friday, October 23

Saturday, October 24

Sunday, October 25

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Building Philantrhopic Momentum

In the University’s fiscal year 2026, the generosity of the Pace Community set new records, advanced vital opportunities for student and faculty excellence, and reaffirmed the enduring strength of the Pace mission.

Students on the Pace Pleasantville Campus
Students on the Pace Pleasantville Campus

In fiscal year 2026 (July 2025–June 2026), the generosity of the Pace University community set new records, advanced vital opportunities for student and faculty excellence, and reaffirmed the enduring strength of the Pace mission.

Through contributions from more than 6,600 alumni and friends of the University, FY26 saw the Pace Community raise more than $24 million in support of student achievement, experiential learning, trailblazing scholarship and research, and critical programs designed to amplify Pace’s impact in communities here in New York and across the globe. 

This represents a new core fundraising record for Pace: the highest single-year total for community support in our history.

$24 million

raised in fiscal year 2026

6,600+

dedicated alumni and friends contributed to Pace

$2.1 million

raised through Pace fundraising events

Throughout the year, Pace built momentum through a string of critical successes that contributed to our historic philanthropic highs. In our two annual University-wide giving days, Giving Tuesday and the 1906 Giving Day Challenge, Pace raised more than $525,000 from 2,382 individual gifts in direct support of student success and special programs across our campuses. Through our series of community-focused fundraising events, including the signature Spirit of Pace Awards Gala, the University raised $2.1 million, representing a 23% increase over last year’s fundraising-event total and a 20% increase over our three-year rolling average. And through hundreds of gifts from dedicated alumni, parents, friends, partners, faculty, and staff, Pace raised an all-time high $4 million in unrestricted funds—the critical resources that allow the University to address urgent needs and invest strategically in institutional impact and advancement.

As Pace celebrates 120 years since its founding, these fundraising successes—powered by the enduring generosity of alumni and friends who believe deeply in the power of a Pace education—help position the University to continue maximizing its mission for decades to come. We are grateful for the vision and leadership of the Pace Community members who are helping us to build that exciting next chapter.

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Academic

AI specialist roles have grown 176 percent, and professionals with AI skills earn a 56 percent wage premium. But is a master’s in AI worth the investment? This guide breaks down salary outcomes, career paths, admissions requirements, and job market data to help you decide. It also compares the degree with bootcamps and certifications, covers when it may not pay off, and explores how Pace’s MS in AI prepares graduates through research, faculty mentorship, and NYC industry access.

Faculty and Staff

Pace University College of Health Professions faculty members Erica L. Gollub and Marie Lourdes Charles are advancing global health equity through research on the PrEP dapivirine ring, a discreet HIV prevention tool designed to expand choice and autonomy for young women.

Nourishment as Healing

College of Health Professions
Research and Scholarship

Christen Cooper, EdD, RDN, chair and founding director of Pace’s MS in Nutrition and Dietetics program, is advancing a compassionate, interdisciplinary approach to care—exploring how trauma-informed nutrition can support survivors of human trafficking and prepare future dietitians to recognize, respond, and help heal.

Close-up of a woman in a kitchen dishing up pasta with sauce.
Close-up of a woman in a kitchen dishing up pasta with sauce.
Alyssa Cressotti
Image
Christen Cooper, EdD, RDN, posing for the camera.
Christen Cooper, EdD, RDN

For Christen Cooper, EdD, RDN, associate professor in Pace University’s College of Health Professions and founding director of the MS in Nutrition and Dietetics program, nutrition has never been only about food. It is about dignity, trust, health, culture, autonomy, and care.

As a registered dietitian nutritionist credentialed by the Academy of Nutrition and Dietetics, Cooper is preparing the next generation of nutrition professionals to think deeply about the people behind the practice. Her work bridges science, public health, compassion, and social justice—and her recent research is opening a powerful new conversation about the role nutrition professionals can play in supporting survivors of human trafficking.

Cooper’s 2024 article, “Registered Dietitian Nutritionists’ Knowledge, Confidence and Experiences with Treating Human Trafficked Individuals: A Call for Interprofessional Continuing Education,” published through the Society for Nutrition Education and Behavior, explores a largely overlooked intersection: how dietitians and nutrition professionals may be uniquely positioned to identify, care for, and support individuals who have experienced trafficking.

“It just occurred to me that we could play a really important role in recuperation,” Cooper says.

That realization grew from a lifelong interest in human rights and public service. As an undergraduate at Wellesley College, Cooper interned with a federal judge who was studying international data on violence against women and human trafficking. She later worked for the United States House of Representatives and as a management consultant in Latin America. Those experiences helped shape the way she approaches nutrition today: not as a narrow clinical field, but as a discipline deeply connected to public health, policy, justice, and human experience.

At Pace, Cooper brings that expansive perspective into the classroom.

The Nutrition and Dietetics program, which she helped found, combines classroom learning with supervised practice experiences to prepare students to become registered dietitian nutritionists. The program emphasizes scientific rigor alongside culinary nutrition, cultural understanding, and practical care. Students learn not only how nutrients affect the body, but how food traditions, access, trauma, identity, and lived experience shape a person’s relationship with nourishment.

That matters deeply in Cooper’s current research.

Human trafficking survivors may experience malnutrition, dehydration, injuries, chronic health problems, and a profound loss of autonomy. Food itself can be used as a means of control, punishment, or manipulation. For survivors, rebuilding a relationship with food can also become part of rebuilding a relationship with the body.

Cooper sees nutrition professionals as essential members of an interdisciplinary response.

Because dietitians often conduct nutrition-focused physical exams and work closely with patients experiencing dehydration, malnutrition, wounds, disordered eating, or other health concerns, they may be in a position to notice warning signs that others miss. They may also help create a safe, caring environment where survivors feel seen as whole people.

“There’s no better time than when you are in a caring, comforting, empathetic environment to be helped,” Cooper says.

Her work is also part of a broader interdisciplinary conversation taking place across Pace. Cooper recently joined faculty from Dyson College of Arts and Sciences for “Nutrition and Dietetics: The Roles of Law and Healthcare in Assisting Victims and Survivors,” a panel discussion hosted as part of the Annual Spring Conference of the Office of Research and Graduate Education at Pace.

The panel brought together Cooper; Cathryn Lavery, PhD, professor and chair of the Department of Criminal Justice in Dyson College; and David Mulcahy, adjunct professor of criminal justice in Dyson College and a supervisory United States probation officer for the Southern District of New York. Cooper also served as moderator.

“We break bread,” Cooper says. “That’s what humans do.”

Together, the presenters examined the Trafficking Victims Protection Act of 2000, major United States anti-trafficking initiatives, and the operational challenges law enforcement faces in preventing victims from being prosecuted and instead promoting justice, recovery, and support. The discussion also explored how healthcare providers can offer trauma-informed nutrition care to victims and survivors, supporting and treating individuals who have been manipulated, controlled, and deprived during captivity.

For Cooper, that kind of cross-disciplinary dialogue is essential.

Human trafficking is often discussed through the lens of criminal justice or law enforcement. Cooper’s research expands that conversation to include nutrition, health care, psychology, trauma-informed practice, and survivor-centered recovery.

“What does criminal justice have to do with nutrition?” Cooper says. “Nothing—and a lot, apparently. We find bridges to each other.”

That ability to find bridges is central to Pace’s academic community. Across schools and disciplines, faculty are pursuing research that responds to real-world challenges with creativity, rigor, and compassion. Cooper’s work shows how a nutrition professional can contribute to one of society’s most urgent human rights issues—and how academic inquiry can lead to more humane care.

Her research found that registered dietitian nutritionists need more education and training to feel prepared to recognize and respond to human trafficking. Many want that education, including webinars and continuing education opportunities. Cooper is now building on that work by exploring how trauma-informed nutrition can be incorporated into nutrition and dietetics curricula.

“What does criminal justice have to do with nutrition?” Cooper says. “Nothing—and a lot, apparently. We find bridges to each other.”

For Cooper, the work is both academic and deeply human.

She imagines models of care in which survivors are supported through nourishment, cooking, cultural foods, shared meals, and community. Food, in her view, can help restore dignity and connection. It can support physical healing through hydration, protein intake, wound recovery, and adequate nourishment. It can also support emotional healing by helping people regain choice, comfort, and trust.

“We break bread,” Cooper says. “That’s what humans do.”

That sense of humanity is at the center of her teaching, research, and mentorship. Cooper regularly partners with students on scholarly work, giving them opportunities to explore emerging areas in nutrition and contribute to professional conversations. She recently published an article with a student on energy deficiency in athletes, examining the nutritional consequences of inadequate fueling and strategies to prevent injury. For students considering careers in sports nutrition, public health, clinical nutrition, or community care, those research opportunities offer a powerful glimpse of what the field can become.

For Cooper, the goal is not only to publish research, but to change how future practitioners see their role.

“I was meant to reach across, partner with people, innovate, and create,” she says.

In doing so, she is helping students understand that nutrition can be a form of science, advocacy, restoration, and care. And at Pace, she is showing that academic excellence is at its most powerful when it is paired with compassion.

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Faculty and Staff

Pace Professor Cathryn Lavery, PhD, challenges the Hollywood myths surrounding human trafficking and prepares students to recognize the grooming, coercion, trauma, and exploitation happening in homes, relationships, online spaces, and everyday communities.

Students

With a BBA in Finance from Pace University’s Lubin School of Business and a new role in asset management operations at Goldman Sachs, Evan Glušić ’26 is turning a lifelong interest in investing into a career at one of the world’s leading financial institutions.

The Sound Behind The Booing

Pace President

Pace University President Marvin Krislov pens a Forbes column examining why mentions of artificial intelligence drew boos at some commencement ceremonies this spring. President Krislov suggests that the reaction reflects broader anxieties about the future of work, economic uncertainty, and the rapid pace of technological change, while emphasizing the importance of preparing students to engage thoughtfully with AI rather than fear it.

Marvin krislov, Pace University president, in his office
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