School of Medicine
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Research Engineer, 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) at the Stanford University Medical Center
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.
Elizabeth (Liz) Chin
Ph.D. Student in Biomedical Informatics, admitted Autumn 2017
Stanford Student Employee, 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. 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 stanford.edu.
Masters Student in Biomedical Informatics, admitted Autumn 2020
Resident in Surgery - General Surgery
BioGeneral Surgery Resident (2017-) in professional development time. MSc student in Epidemiology & Clinical Research (2019-2020), and Biomedical Informatics (2020-). Co-President of SWAT (Surgeons Writing About Trauma); helping students get excited about clinical research is my passion.
My interest is encouraging cross-disciplinary collaborations to tackle challenging research questions in trauma surgery. To better lives of injured patients and their families, our research teams explore evidence synthesis (meta analysis), computer vision applications, decision analysis/cost-effectiveness analysis, epidemiological/clinical outcomes research, and prognostication tool development. If you are interested in collaborating, please reach out.