Training and Education

Artificial intelligence is transforming medicine, and VP&S is committed to leading this evolution. Our Training & Education workgroup aims to equip the VP&S community with the skills and knowledge to navigate, innovate, and lead in this rapidly advancing field. By developing a dynamic, interdisciplinary curriculum, we are ensuring that AI education is not only accessible but also integrated into the fabric of medical training at all levels. This effort will position VP&S at the forefront of AI-integrated healthcare and education, empowering our community to harness technology for better patient outcomes and more effective healthcare delivery.
Our strategy is built around two key domains: education and training. Through a reimagined undergraduate medical education curriculum and faculty development programs, we are embedding AI fundamentals into medical learning from day one. Simultaneously, our training initiatives focus on graduate medical education and staff development, emphasizing responsible AI applications in clinical practice and operations. A consultative AI training and education service will further support faculty and staff in seamlessly integrating AI knowledge into existing learning frameworks. By fostering an adaptable, forward-thinking learning environment, we are not only preparing VP&S for the future of medicine—we are shaping it.
Meet Our Team
Lauren Richter, MD, MA
- Workgroup Lead
- Assistant Professor of Biomedical Informatics and Pediatrics
Research Focuses: metabolism, children’s health, diabetes mellitus, diabetes device technology, machine learning, data assimilation, medical education, differential health outcomes across populations

Anhphan Ly
- Workgroup Lead
- Senior Director, Center for Education, Research, Evaluation (CERE)
Research Focuses: accreditation, quality improvement, curricular & performance analytics, education research, infectious disease

Todd A. Bates, PhD, MSEd, MA
- Senior Director, Medical Education & Learning at CERE (Center for Education Research and Evaluation)
- Assistant Clinical Professor of Education Assessment (in Medicine)
- Workgroup Lead

Lyndsey Adams
- Senior Program Coordinator: Integration

Christina Bear
- Medical Student Representative

Herbert Chase, MD, MA
- Professor of Medicine (in Biomedical Informatics)

Hsin Yi "Cindy" Chen
- MD-PhD Student, Department of Biomedical Informatics

Trudi Cloyd
- Assistant Professor of Emergency Medicine

Hetty Cunningham, MD
- Associate Professor of Pediatrics at CUMC
- Associate Vice Chair for Education and the Learning Environment
Research Focuses: medical education, leadership, substance use

Jean Fitzpatrick Timmerberg, PT, PHD, MHS, OCS
- Professor of Rehabilitation and Regenerative Medicine (Physical Therapy) at CUMC

Wing Fu, PT, PhD, MA
- Assistant Professor of Rehabilitation and Regenerative Medicine (Physical Therapy) at CUMC

Jonathan Giordano, DO
- Associate Professor of Emergency Medicine at CUMC

George M. Hripcsak, MD
- Vivian Beaumont Allen Professor of Biomedical Informatics
Research Focuses: electronic health records, causal inference, data assimilation

Rosa Lee, MD
- Senior Associate Dean for Curricular Affairs
- Associate Professor of Medicine at CUMC
Research Focuses: medical education

Lena Mamykina, PhD
- Associate Professor of Biomedical Informatics and Graduate Program Director
Research Focuses: human-computer interaction, mHealth and personal informatics, intelligent interactive systems, clinical decision support

Tiffany Ellyn Murano, MD
- Vice Chair of Education, Department of Emergency Medicine
- Professor of Emergency Medicine

Melissa S. Stockwell, MD, MPH
- Chief, Division of Child and Adolescent Health
- Felice K. Shea Professor of Pediatrics, and Professor of Population and Family Health
Research Focuses: vaccines, respiratory infections, long COVID

Jason E Zucker, MD
- Assistant Professor of Medicine at CUMC
Research Focuses: sexually transmitted infections, HIV, HIV prevention, clinical trials, implementation science, electronic health records, regional health information organizations, bioinformatics, machine learning























