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  • Elizabeth (Liz) Chin

    Elizabeth (Liz) Chin

    Ph.D. Student in Biomedical Informatics, admitted Autumn 2017

    Bio I am a PhD candidate in the Department of Biomedical Data Science at Stanford University, advised by Euan Ashley and Trevor Hastie. My research focuses on promoting health equity by addressing disparities in chronic illness and mass incarceration. My work centers around integrating data from disparate sources using a variety of quantitative approaches such as machine learning, simulations, and inference.

    I am interested in occupational, socioeconomic, and racial inequities and their relation to public health. My most recent projects include:
    1. Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures
    2. Frequency of Routine Testing for Covid-19 in High-risk Healthcare Environments to Reduce Outbreaks
    3. Testing strategies for airline travel during the COVID-19 pandemic
    4. Studying decarceration, ongoing risks, and risk factors from Covid-19 in the California State Prison System
    5. Quantifying disparities in testing and vaccine acceptance in California prisons

    I am grateful for the support of the Stanford Graduate Fellowship and the National Science Foundation Graduate Fellowship. Before coming to Stanford, I obtained my Bachelor of Science in Applied Mathematics at the University of California Los Angeles, where I was fortunate to conduct computational genomics research under the advisement of Xinshu (Grace) Xiao. As an undergraduate, I was also honored to conduct research with Rachel Martin, Carter Butts, and Pardis Sabeti as part of NSF REU and Harvard Systems Biology Summer Research Programs. I have also worked on machine learning/data science teams at Adobe Systems and Quora.

    If you’re interested in my work or share interests, don’t hesitate to reach out. You can contact me at etchin at

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