School of Medicine
Showing 1-100 of 139 Results
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Matthew Abraham
Masters Student in Clinical Informatics Management, admitted Summer 2021
BioMatthew is a healthcare leader with 15 years of experience in Strategy and Operations, Revenue Cycle Management, IT Portfolio Management, Digital health strategy, and Population Health. He currently serves as the Administrative Director of Ambulatory Systems and Services at Stanford Healthcare overseeing technology deployments across Oncology, Transplant and Ambulatory clinical areas. Most recent projects include expansion of digital health solutions (video visits and e-consults) to the broader SHC ecosystem, implementing a precision medicine solution for the Oncology molecular tumor board and optimizing referrals across the enterprise. Prior to Stanford, Matthew worked at Deloitte within their Strategy and Operations practice where he advised health systems across the country on a wide variety of initiatives including mergers and acquisitions, market development initiatives, total cost of ownership models etc. Before Deloitte, Matthew was at Accenture within their Healthcare Center of Excellence.
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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. -
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 -
Timothy Keyes
MD Student, expected graduation Spring 2022
Ph.D. Student in Cancer Biology, admitted Winter 2018
MSTP Student
Masters Student in Biomedical Informatics, admitted Winter 2021BioTimothy is an MD/PhD student studying cancer biology and biomedical informatics at the Stanford University School of Medicine. He is a joint member of Kara Davis's laboratory in the Department of Pediatrics and Garry Nolan's Laboratory in the Department of Pathology.
As a biomedical data scientist, Timothy's research focuses on the application of machine learning to single-cell data analysis in the context of pediatric leukemia. Through the use of emerging, high-throughout single-cell technologies such as mass cytometry and sequence-based cytometry, Timothy's research is designed to build predictive models of patient outcomes - such as relapse or minimal residual disease (MRD) - at the point of diagnosis. To do so, he uses a variety of computational tools including generalized linear models, clustering, and deep learning. In addition, his work prioritizes constructing easy-to-use, highly-reproducible data analysis pipelines that can be shared as open-source tools for the scientific community.
Outside of science, Timothy has a longstanding interest in human rights and social justice work among members of the lesbian, gay, bisexual, transgender, and queer (LGBTQ+) community. He currently serves as the resident data scientist for the Medical Student Pride Alliance (MSPA), a 501(c)(3) non-profit organization that advocates for diversity, equity, and inclusion for LGBTQ+ medicals students in medical schools across the United States. As a data scientist at MSPA, Timothy analyzes and visualizes data to guide MSPA's strategic decision-making as well as for academic publication. He also advises and mentors other student members of MSPA performing data analysis in Python and R.
In recognition of his accomplishments, Timothy has received several institutional and national award for both research and advocacy. These include a National Research Service Award (NRSA) from the National Cancer Institute, a Junior Leadership Award from the Building the Next Generation of Academic Physicians (BNGAP) LGBT Workforce, Stanford Medicine’s Integrated Strategic Plan Star Award, and a Point Foundation Scholarship. -
Ashwin K Nayak
Clinical Assistant Professor, Medicine
Masters Student in Clinical Informatics Management, admitted Summer 2021Current Research and Scholarly InterestsMachine learning, clinical informatics and digital health
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Minh Nguyen
Ph.D. Student in Biomedical Informatics, admitted Autumn 2018
Ph.D. Minor, Management Science and EngineeringBiohttps://datascience.stanford.edu/people/minh-nguyen
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Susan Ruyu Qi, MD
Masters Student in Clinical Informatics Management, admitted Summer 2021
BioSusan Ruyu Qi, MD, is an Ophthalmology Resident (PGY4) from Canada currently at Stanford for a Master of Science program in Clinical Informatics Management. She is passionate about innovation in medicine, particularly the role of Artificial Intelligence in the field of ophthalmology. She was Editor in Chief of one of the first Medium publications dedicated to AI in Healthcare back in 2017.
In her spare time, she has completed the Machine Learning Certificate from Stanford on Coursera and is pursuing an online MBA program at Quantic School of Business. In residency, her research interest focused on Immediately Sequential Bilateral Cataract Surgery (ISBCS), Topography-guided LASIK outcomes, and the clinical trial of a novel retinal oximetry device, Zilia Ocular.
Having grown up in Montreal, Canada and China, she is fully fluent in English, French and Mandarin Chinese, and works occasionally as a medical translator. She holds a Doctor of Medicine (M.D.) degree from Université de Montréal.
