AI at VP&S Initiative

Training and Education

ai concept with doctor holding ipad wearing a white coat and stethoscope

The Training & Education Workgroup is dedicated to integrating artificial intelligence into the core medical education experience. By developing a longitudinal AI curriculum, we can ensure that future physicians are equipped with the knowledge and skills needed to understand, apply, evaluate, and even create AI-driven tools in clinical practice. Our goal is to seamlessly embed AI literacy into the world-class training received by Columbia VP&S medical students, empowering them to navigate an evolving healthcare landscape with confidence and expertise.

This workgroup brings together a diverse team of faculty from clinical departments, experts in biomedical informatics, education technology specialists, medical school leadership, and medical students. Together, it will design and deliver best-in-class educational development programs that enhance both student learning and educator success. It will also establish foundational AI training resources for broad use across Columbia’s medical center, ensuring that clinicians and educators have the tools they need to integrate AI effectively into their practice and teaching.

Through this initiative, the Training & Education Workgroup can foster a new generation of AI-literate physicians who can critically evaluate emerging technologies, leverage AI to enhance patient care, and drive innovation in medical education. Embedding AI into Columbia’s educational framework will prepare our students to lead in an era where AI is central to clinical decision-making, operational efficiency, and the future of medicine.

Meet Our Team

  • Rosa Lee, MD

    • Workgroup Lead
    • Senior Associate Dean for Curricular Affairs
    • Associate Professor of Medicine at CUMC

    Research Focuses: medical education

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  • Lauren Richter

    • 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 

    Lauren Richter

  • 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

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  • Anthony W Ferrante Jr, MD, PhD

    • Tilden-Weger-Bieler Professor of Preventative Medicine (in Medicine)

    Research Focuses: metabolism, immunology, feeding behavior

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  • George M. Hripcsak, MD

    • Vivian Beaumont Allen Professor of Biomedical Informatics

    Research Focuses: electronic health records, causal inference, data assimilation

    George Hripcsak

  • Jason E Liebowitz, MD

    • Assistant Professor of Medicine at CUMC

    Research Focuses: medical education 

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  • Briana Therese Short, MD

    • Assistant Professor of Medicine at CUMC
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  • 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

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  • Athina Vassilakis, MD

    • Associate Professor of Medicine at CUIMC
    Athina Vassilakis

  • 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

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