Michael Wornow

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 and Stanford HAI Graduate Fellowship.



Microsoft Research Microsoft Research
Machine Learning Research Intern
Summer 2023
Insitro Insitro
Machine Learning Intern
Summer 2021
Broad Institute of MIT & Harvard Broad Institute of MIT & Harvard
Research Assistant, David Liu Lab
Fall 2018 - Spring 2020
Bain & Company Bain & Company
Associate Consultant Intern
Summer 2019
Goldman Sachs Goldman Sachs
Global Investment Research Summer Analyst
Summer 2018
Facebook Facebook
Software Engineering Intern
Summer 2017
Joint Genome Institute Joint Genome Institute
Bioinformatics Intern
Summer 2017
Joint BioEnergy Institute Joint BioEnergy Institute
Bioinformatics Intern
Summer 2015


Stanford University Stanford University | 2020 - Present
PhD Candidate, Computer Science
Harvard College Harvard College | 2016 - 2020
AB, Double Major in Computer Science & Statistics


  • 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

  • myScheduleShare Website

    Fall 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 Website

    Winter 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 Website

    Summer 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


Artificial Intelligence: Principles and Techniques Artificial Intelligence: Principles and Techniques (CS 229)
Course Assistant
Summer 2024
Artificial Intelligence: Principles and Techniques Artificial Intelligence: Principles and Techniques (CS 221)
Course Assistant
Fall 2023
Graduate Cybersecurity Graduate Cybersecurity (CS 263)
Teaching Fellow
Fall 2019
Machine Learning Machine Learning (CS 181)
Teaching Fellow
Spring 2019, Spring 2020
Introduction to Computer Science Introduction to Computer Science (CS 50)
Teaching Fellow
Fall 2017