AI at VP&S Initiative

Research

research ai concept

The AI Research Workgroup is dedicated to advancing the scientific foundations of artificial intelligence in healthcare, exploring novel methodologies, and pushing the boundaries of what AI can achieve in clinical and operational settings. This workgroup brings together interdisciplinary experts across VP&S to work towards the following strategic goals:

  • Lead in fundamental research in AI for biomedicine and health
  • Lead in research at intersection of AI and health
  • Facilitate and foster research for VP&S community

There are numerous challenges involved in building a comprehensive and collaborative research environment around AI in healthcare. The AI Research Workgroup intends to build both a computing infrastructure and a federated learning infrastructure so that collaboration can occur both inside and outside Columbia University. They will help identify common challenges, work to break down silos, and build towards a successful translation of AI research to the wide breadth of clinicians at VP&S.

Meet Our Team

  • Noémie Elhadad, PhD

    • Workgroup Lead
    • Chair, Department of Biomedical Informatics
    • Associate Professor of Biomedical Informatics

    Research Focuses: machine learning, human-centered AI, biomedical informatics, women's health

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  • Pierre Adil Elias, MD

    • Assistant Professor in Cardiology & Biomedical Informatics

    Research Focuses: cardiology, imaging

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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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  • Gamze Gursoy, PhD

    • Assistant Professor of Biomedical Informatics

    Research Focuses: federated AI, privacy & security, genomics, clinical informatics

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  • Chin Hur, MD

    • Professor of Medicine
    • Professor of Epidemiology

    Research Focus: cancer early detection 

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  • Caleb Ing, MD

    • Associate Professor of Anesthesiology (in Epidemiology) at CUMC

    Research Focuses: peri-operative outcomes, anesthetic neurotoxicity, biostatistical methods

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  • Despina Kontos, PhD

    • Vice-Chair of AI and Data Science Research, Radiology
    • Director, Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID)
    • Chief Research Information Officer (CRIO), CUIMC
    • Director of Biomarker Imaging, NYP

    Research Focuses: AI, data science, medical imaging, multi-omic integration, predictive modeling, cancer imaging biomarkers

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  • Kaveri Thakoor, PhD

    • Assistant Professor of Ophthalmic Science (in Ophthalmology)

    Research Focuses: deep learning for biomedical imaging applications, human vision inspired intelligent systems, expert-informed AI algorithm development, AI-embedded imaging systems, AR/VR for medical education

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  • Jennifer Williamson, MS, MPH

    • Associate Vice Dean of Research
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  • Yading Yuan, PhD, DABR

    • Herbert and Florence Associate Professor of Radiation Oncology (Physics) (in the Data Science Institute) at CUMC

    Research Focuses: medical image computing, radiomics, machine learning, personalized federated learning, AI agents in radiotherapy

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  • 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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