I am a PhD candidate in Computer Science at Stanford University.
I am advised by Nigam Shah and Chris Ré. My research focus is on developing and operationalizing AI models in healthcare.
I graduated summa cum laude from Harvard in 2020 with a double major in Computer Science and Statistics, and am fortunate to be supported by an NSF Graduate Research Fellowship.
Publications
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Michael Wornow, Yizhe Xu, Rahul Thapa, Birju Patel, Ethan Steinberg, Scott Fleming, Michael A. Pfeffer, Jason Fries, Nigam H. Shah
Under review
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APLUS: A Python Library for Usefulness Simulations of Machine Learning Models in Healthcare
Michael Wornow, Elsie Ross, Alison Callahan*, Nigam H. Shah*
Journal of Biomedical Informatics | Feb, 2023
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Jonathan C. Chen, Jonathan P. Chen, Max W. Shen, Michael Wornow, Minwoo Bae, Wei-Hsi Yeh, Alvin Hsu, David R. Liu
Nature Communications | Aug, 2022
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Tianyun Liu, Shiyin Wang, Michael Wornow, Russ B. Altman
PLOS Computational Biology | Apr, 2022
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Cut out the annotator, keep the cutout: better segmentation with weak supervision
Sarah Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis Langlotz, Christopher Ré
International Conference on Learning Representations (ICLR) | May, 2021
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Inter-region transfers for pandemic surges
Kenneth A Michelson, Chris A Rees, Jayshree Sarathy, Paige VonAchen, Michael Wornow, Michael C Monuteaux, Mark I Neuman
Clinical Infectious Diseases | Oct, 2020
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Wei-Hsi Yeh, Olga Shubina-Oleinik, Jonathan M. Levy, Bifeng Pan, Gregory A. Newby, Michael Wornow, Rachel Burt, Jonathan C. Chen, Jeffrey R. Holt, David R. Liu
Science Translational Medicine | Jun, 2020
Experience
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Insitro
Machine Learning Intern Summer 2021 |
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Broad Institute of MIT & Harvard
Research Assistant, David Liu Lab Fall 2018 - Spring 2020 |
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Bain & Company
Associate Consultant Intern Summer 2019 |
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Goldman Sachs
Global Investment Research Summer Analyst Summer 2018 |
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Facebook
Software Engineering Intern Summer 2017 |
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Joint Genome Institute
Bioinformatics Intern Summer 2017 |
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Joint BioEnergy Institute
Bioinformatics Intern Summer 2015 |
Projects
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Applying Deep Learning to Discover Highly Functionalized Nucleic Acid Polymers that Bind to Small Molecules Computational Biology
Spring 2019 - Spring 2020
Undergraduate senior thesis. A conditional variational autoencoder (CVAE), after training on one run of SELEX, learned to embed aptamers in a latent space from which novel aptamers with strong binding affinities for a target molecule could be generated through conditional sampling.
Links: Thesis
MiSeq Validation Pipeline BioinformaticsSummer 2015
Reduced cost of sequencing with Illumina MiSeqs by 90%. Validates the genomes of synthetically created organisms against reference sequences. Integrates with JBEI's Inventory of Composable Elements.
Links: Project | Official Announcement
HardPass CybersecurityFall 2018
Browser extension + keyboard driver that amplifies the security of your passwords while avoiding some of the security issues of popular centralized password managers like LastPass.
Links: White Paper
myScheduleShare WebsiteFall 2013 - Summer 2015
A school-centric, collaborative scheduling system for students and faculty. Allows users to share schedules with friends, track classes, plan meetings, stay updated on homework, and more. More flexible scheduling features than Google Calendar and Microsoft Outlook.
Links: Website | PDF Overview
Improved Harvard QGuide WebsiteWinter 2018
Improved version of Harvard's course evaluation system, the "QGuide." A searchable, sortable interface containing all comments, evaluations, and courses offered at Harvard University from Fall 2006 - Spring 2019.
Links: Website
College Essay Management Dashboard WebsiteSummer 2019
Built a free, mobile-friendly dashboard in React for college counselors to better manage their students' essays. Includes support for Google Docs/Microsoft Word/PDFs, automated payment processing, and a sophisticated permissioning system.
Links: Website
HCCG Internal Portal WebsiteSpring 2019
Website for Harvard College Consulting Group. Internal portal (written in Django) generates client leads, processes student applications, tracks case team progress, and manages internal group feedback and event scheduling for 120-member organization.
Links: Website (members only)
Education
Stanford University | 2020 - Present
PhD Candidate, Computer Science
Harvard College | 2016 - 2020
AB, Double Major in Computer Science & Statistics
Teaching
Graduate Cybersecurity (CS 263)
Teaching Fellow
Fall 2019Machine Learning (CS 181)
Teaching Fellow
Spring 2019, Spring 2020Introduction to Computer Science (CS 50)
Teaching Fellow
Fall 2017