Speakers and Panelists
Joseph Kerwin, MAppPsych, MDiv
Director at New York State Department of Health AIDS Institute
Speaker, Welcome
Mr. Joseph Kerwin is the Director of the AIDS Institute. Prior to serving as Director, Mr. Kerwin was a Deputy Director within the AIDS Institute for four years. His portfolio as a Deputy Director progressively expanded over the past four years to include oversight of the AIDS Institute’s Health Care Programs, Uninsured Care Program, Medicaid Programs and Health Care Financing. Mr. Kerwin has been with the AIDS Institute for more than ten years. Prior to joining the AIDS Institute, Joseph was the Executive Director of AIDS Services at Catholic Charities and the Program Administrator of the AIDS Program and Division of HIV Medicine at Albany Medical Center. Mr. Kerwin is responsible for the day-to-day decision making and operations of the AIDS Institute and has represented the AIDS Institute within the DOH, across state agencies and New York State. Priority efforts have focused on the integration of health equity principles to advance ending the epidemics of HIV, Hepatitis C, Congenital Syphilis, and opioid overdose, advancing LGBTQ+ health and wellness, and leading in many areas of the state’s outbreak responses including COVID-19 and Mpox.
Art Papier, MD
CEO and Co-founder at VisualDx and Associate Professor of Dermatology at University of Rochester
Speaker, Artificial Intelligence Use Within Clinical Settings and Pragmatic Best Practices
Dr. Art Papier is a founder of VisualDx, CEO and an Associate Professor of Dermatology at the University of Rochester. Art has a particular interest in designing information systems that advance the practice of medicine and enhance patient understanding. In line with this passion, he has led the development of VisualDx, an electronic record integrated decision tool and mobile app that incorporates AI for skin rashes and lesions. The focus of his work is to assist medical decisions by professionals and people alike, with decision support and AI augmenting human intelligence.
Brenton Hill, JD, MHA
Head of Operations and General Counsel at Coalition for Health AI (CHAI)
Moderator, Legal and Ethical Implications of AI in Clinical Settings
Brenton W. Hill is the Head of Operations and General Counsel at the Coalition for Health AI (CHAI), healthcare’s leading nonprofit thought partner organization dedicated to providing guidelines for the responsible use of AI in healthcare. Trained as an attorney and a healthcare administrator, Brenton approaches his work from a risk-informed and operationally feasible perspective which helps CHAI move with agility to accomplish its mission and best serve its members. Prior to his role at CHAI, Brenton served as the Regulatory Strategy and Compliance Manager for Mayo Clinic Platform assisting Platform in identifying its approach to emerging AI regulation and risk mitigation strategies. As part of his role, he served as a member of Mayo Clinic’s SaMD Review Board, which provides governance for AI models being implemented at Mayo Clinic. Additionally, he served as Mayo Clinic’s first legal-trained Administrative Fellow. After his first year in the fellowship program doing traditional hospital operations, Brenton pivoted and spent the next year exclusively focused on digital health regulation and AI implementation where he gained a passion for responsible AI governance and adoption. He is passionate about connecting the entire health sector to CHAI’s work and providing a collaborative community that can help define how AI can help solve some of the health sector’s most pressing issues. Brenton completed his undergraduate studies at Arizona State University and completed his JD and MHA at the University of Kentucky.
Andrew Lea, MD, DPhil
Assistant Professor of Health Humanities and Bioethics at University of Rochester School of Medicine and Dentistry
Panelist, Legal and Ethical Implications of AI in Clinical Settings
Andrew Lea is a physician-historian in the Department of Health Humanities and Bioethics at the University of Rochester. He graduated summa cum laude from Harvard College with a bachelor’s degree in History and Science and went on to receive his Ph.D. in History of Science and Medicine from the University of Oxford with the support of a Rhodes Scholarship. He earned his medical degree from Johns Hopkins and returned to Boston to complete his residency training in internal medicine at Brigham and Women’s Hospital, where he served as a chief medical resident at the residency's West Roxbury VA training site. His research explores the historical and ethical dimensions of artificial intelligence, communications media, and information technology in medicine and has appeared in leading historical and medical journals, including the Annals of Internal Medicine and the New England Journal of Medicine. His first book, Digitizing Diagnosis: Medicine, Minds, and Machines in Twentieth-Century America was published by Johns Hopkins University Press in 2023 and examined the history of AI in medicine from the 1950s to the present.
Michael T. Batt, JD
Attorney and Shareholder at Hall, Render, Killian, Heath & Lyman, P.C.
Panelist, Legal and Ethical Implications of AI in Clinical Settings
Mike's practice is devoted primarily to assisting health care providers with practical solutions to the rapidly expanding challenges associated with implementing, managing and interconnecting health information technology (HIT), including artificial intelligence (AI) solutions. He effectively demystifies the world of technology and law to assist leaders in making informed decisions about how to leverage technology to achieve their organization's strategic goals. He regularly advises clients on physician/hospital transactions, as well as provides general regulatory guidance related to federal Stark Law, Anti-Kickback, Fraud and Abuse, HIPAA, HITECH and state data security laws. He also advises health systems and startups on the development and commercialization of HIT products and services.
Aiswarya (Ammu) Menon, MPH, MBA
Chief Data & AI Officer at NYC Health + Hospitals
Panelist, Legal and Ethical Implications of AI in Clinical Settings
Ammu is the Chief Data & AI Officer at NYC Health + Hospitals, the nation’s largest municipal health system. At H+H, she leads the strategy and implementation of data and AI-enabled products to advance patient outcomes and to ensure every New Yorker receives the best care. Prior to NYC Health + Hospitals, Ammu was the VP of Product at Covera Health, where she built AI-enabled products to improve diagnostic quality in imaging. She also served as a Director of Product for Real World Data at Tempus AI, building multi-modal datasets to better enable providers and patients to find optimal treatment options. Ammu holds an MBA from Georgetown University and a Master of Public Health (MPH) from Boston University, positioning her at the vital intersection of business strategy, public health, and cutting-edge technology.
Michelle I. Knopp, MD, FACP
Assistant Professor at Department of Pediatrics, University of Cincinnati and Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center
Speaker, Clinical Case Studies with AI
Dr. Knopp is a physician scientist board certified in Internal Medicine and Clinical Informatics who works at the intersection of clinical care, informatics, and artificial intelligence to generate actionable insights that improve chronic disease management and healthcare delivery. Her work focuses on the responsible design, evaluation, and implementation of AI in complex clinical environments, with particular attention to clinical usability and limitations. In parallel, Dr. Knopp supports interdisciplinary efforts to integrate complex, device generated data into clinical workflows, bridging health IT infrastructure with frontline clinical practice to enable effective digital health solutions. A former chief resident, Dr. Knopp remains an active medical educator as core faculty for the Clinical Informatics Fellowship at Cincinnati Children’s and a frequent lecturer on artificial intelligence and informatics for trainees, faculty, and staff.
Marzyeh Ghassemi, PhD
Germeshausen Career Development Professor at Massachusetts Institute of Technology (MIT)
Speaker, Clinical Case Studies with AI
Dr. Marzyeh Ghassemi focuses on creating and applying machine learning to understand and improve health in ways that are robust, private and fair. Dr. Ghassemi will talk about her work trying to train models that do not learn biased rules or recommendations that harm minorities or minoritized populations. The Healthy ML group tackles the many novel technical opportunities for machine learning in health and works to make important progress with careful application to this domain.
Tim Dye, PhD, JD
Professor and Chair in the Department of Population Health at Florida Atlantic University Schmidt College of Medicine
Moderator, "So What? How Will AI Redefine the Healthcare Workforce?"
Timothy Dye, PhD, JD is Professor and Chair of the Department of Population Health at Florida Atlantic University's Schmidt College of Medicine, and is a licensed attorney with research at the convergence of artificial intelligence, international law, and health. His AI research spans rule-guided large language model (LLM) prompting to measure structural oppression worldwide, machine learning analysis of COVID-19 vaccine sentiment, and AI-powered disease detection systems. These technical contributions are grounded in his foundational work on data diplomacy, a framework Dye championed for navigating multi-party/ -country data governance, and in his legal scholarship on biospecimen rights. Together, this interdisciplinary portfolio informs a socially and ethically grounded approach to AI use and development, where questions of consent, sovereignty, bias, and human rights shape how algorithms are built and how AI is deployed.
Nadia Smati, MD
Partner at Ainsley Health
Panelist, "So What? How Will AI Redefine the Healthcare Workforce?"
Dr. Nadia Smati is a Partner at Ainsley Health, a healthcare AI advisory firm, and an internal medicine physician and clinical faculty member. Her work focuses on health technology implementation and investment strategy. Alongside her clinical and consulting roles, she teaches and leads health AI education for physicians to support safe, effective use of AI in clinical practice. With dual clinical training in the U.K. and U.S., she brings a global perspective to the responsible deployment of AI and digital tools across healthcare systems and complex patient populations. At Kaiser Permanente, she served as Department Technology Lead, focusing on translating physician needs and workflows into the integration of AI tools, including front-line pilots and evaluation in value-based care. Her research interests include technology-enabled clinician–patient communication, digital health equity, and applied AI in healthcare operations and care delivery.
Charlene Ngamwajasat MD, MBA
Public Health and Preventive Medicine Residency Program Director and Senior Physician Informaticist/Population Health Physician at NYC Department of Health and Mental Hygiene Bureau of Equitable Health Systems
Panelist, "So What? How Will AI Redefine the Healthcare Workforce?"
Dr. Ngamwajasat is the Director of the Public Health and Preventive Medicine Residency Program and Senior Physician Informaticist/Population Health Clinical Advisor at the NYC Department of Health and Mental Hygiene. She leads clinical quality improvement initiatives, supports strategic planning for population health, and provides interprofessional training. Her AI work includes training medical professionals and advancing public health projects through innovative technologies. Dr. Ngamwajasat is an alumna of the Sophie Davis School of Biomedical Education and earned her MD from SUNY Downstate Medical Center. She completed her residency at Lenox Hill Hospital and is board certified in Clinical Informatics and Internal Medicine. Dr. Ngamwajasat also holds an MBA from the Zicklin School of Business.
Kristine Creavey, PhD
Senior Researcher at Chapin Hall
Panelist, "So What? How Will AI Redefine the Healthcare Workforce?"
Dr. Creavey is committed to supporting professional partners in human services enhance their services, processes, and systems through rigorous yet practical research, evaluation, and continuous quality improvement efforts. Dr. Creavey’s work focuses on partnering with state child welfare jurisdictions to build their capacity to make data-informed decisions and improve outcomes for children, families, and child welfare professionals. Dr. Creavey is experienced in leading teams of diverse partners including researchers, data engineers, technology professionals, social services leadership and professionals, and youth and caregivers who have experienced child welfare system involvement. She is currently engaged in collaborative efforts to explore when and how the use of artificial intelligence can support child welfare agencies and practitioners in better serving children, youth, and families.
Lauri Goldkind, PhD, MSW
Professor at Graduate School of Service, Fordham University
Panelist, "So What? How Will AI Redefine the Healthcare Workforce?"
Dr. Goldkind is a professor at Fordham’s Graduate School of Social Service and the Editor in Chief of the Journal of Technology in Human Services. Dr. Goldkind’s current research interests include: public interest technologies, AI adoption and governance in the nonprofit, social care and social work sectors. She has a robust network of community partners locally, nationally and internationally, including the International Federation of Settlement Houses and United Neighborhood Houses. Dr. Goldkind holds a PhD from the Wurzweiler School of Social Work at Yeshiva University, and an M.S.W. from SUNY Stony Brook with a concentration in planning, administration, and research. She has been a research scholar in residence at the United Nations University Institute, located in Macau, SAR in 2017.