School of Medicine
Showing 1-10 of 12 Results
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Alison Callahan
Research Scientist, Med/BMIR
BioAlison Callahan is a research scientist in the Center for Biomedical Informatics and a member of the Shah Lab. Her work involves research and development of informatics methods for the analysis of biomedical and clinical data, to derive insights and inform medical decision making.
Alison completed her PhD in the Department of Biology at Carleton University in Ottawa, Canada. Her doctoral research focused on developing HyQue, a framework for representing and evaluating scientific hypotheses, and applying this framework to discover genes related to aging. She was also a developer for Bio2RDF, an open-source project to build and provide the largest network of Linked Data for the life sciences. -
Jonathan H. Chen, MD, PhD
Assistant Professor of Medicine (Biomedical Informatics)
Current Research and Scholarly InterestsInformatics solutions ares the only credible approach to systematically address challenges of escalating complexity in healthcare. Tapping into real-world clinical data streams like electronic medical records will reveal the community's latent knowledge in a reproducible form. Delivering this back as clinical decision support will uniquely close the loop on a continuously learning health system.
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Elizabeth (Liz) Chin
Ph.D. Student in Biomedical Informatics, admitted Autumn 2017
Stanford Stdnt Employee-Summer, Medicine - Med/PCORBioI 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. -
Eunji Choi
Postdoctoral Scholar, Biomedical Informatics
Current Research and Scholarly InterestsMy major research interests include cancer epidemiology with a concentration in the early detection and screening for cancer. My current research focuses on second malignancies among cancer survivors with special interests in causal inference, cancer risk prediction, and simulation modeling of cancer control interventions on their effects on population trends in incidence and mortality. My research involves the application of various statistical methods for competing-risk and high-dimensional data analysis using various data sources, which include prospective cohorts, population-based randomized trials, electronic health records, and cancer genomics data.
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Jeff Choi
Masters Student in Biomedical Informatics, admitted Autumn 2020
Resident in Surgery - General SurgeryBioGeneral 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).
My passions:
1) Re-evaluating dogma with data
2) Reducing the data to bedside gap
