School of Medicine


Showing 1-5 of 5 Results

  • David Chan

    David Chan

    Associate Professor of Health Policy (PCOR)

    BioDavid Chan, MD, PhD, is an Assistant Professor of Medicine at the Stanford School of Medicine, an investigator at the Department of Veterans Affairs, and a Faculty Research Fellow at the National Bureau of Economic Research. Drawing on labor and organizational economics, he is interested in studying how information is used in health care, how this affects productivity, and implications for design. He is the recipient of the 2014 NIH Director’s High-Risk, High-Reward Early Independence Award to study the optimal balance of information in health information technology for patient care.

    Dr. Chan received master’s degrees in policy and economics from the London School of Economics and Oxford University, where he studied as a Marshall scholar. He holds a medical degree from UCLA and a PhD in economics from MIT. He trained in internal medicine at Brigham and Women’s Hospital and was an instructor of medicine at Harvard Medical School, prior to coming to Palo Alto, where he currently is a hospitalist at the Department of Veterans Affairs, Palo Alto.

  • Elizabeth (Liz) Chin

    Elizabeth (Liz) Chin

    Ph.D. Student in Biomedical Informatics, admitted Autumn 2017
    Stanford Stdnt Employee-Summer, Medicine - Med/PCOR

    BioI am a PhD candidate in the Department of Biomedical Data Science at Stanford University, advised by Euan Ashley and Trevor Hastie. The overarching goal of my research is to create targeted interventions to aid medically vulnerable and marginalized populations to prevent poor health outcomes and the social determinants of these outcomes. My work centers around integrating data from disparate sources using a variety of quantitative approaches such as machine learning, simulations, and inference.

    My research was generously funded by the National Science Foundation Graduate Fellowship and Stanford Graduate Fellowship. Previously, I obtained my BS in Applied Mathematics at UCLA, where I worked with Xinshu (Grace) Xiao. I have also worked under the guidance of Rachel Martin, Carter Butts, and Pardis Sabeti, and as a machine learning scientist at Adobe Systems and Quora.

    If you’re interested in my work or share interests, don’t hesitate to reach out. I am also on the 2021-2022 academic job market. You can contact me at etchin at stanford.edu or follow me on Twitter.

    You can find my most recent information and CV on my website, etchin.github.io.