School of Medicine
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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.
Masters Student in Biomedical Informatics, admitted Autumn 2020
Resident in Surgery - General Surgery
BioGeneral Surgery Resident (2017-) in professional development time. MS in Epidemiology & Clinical Research (2019-2020), and Biomedical Informatics (2020-). Ex-president of SWAT (Surgeons Writing About Trauma).
1) Re-evaluating dogma with data
2) Reducing the data to bedside gap