Jake Silberg
PhD Student in Biomedical Data Science, Stanford
jsilberg [AT] stanford.edu
Bio
I'm a PhD at Stanford in Biomedical Data Science, co-advised by James Zou and Anshul Kundaje. I work on building deep learning models for multi-modal omics, and using LLM agents to mine biomedical data. I previously completed a Master's at Stanford, where I worked in the Stanford Machine Learning Group, supervised by Jeremy Irvin and Andrew Ng. I also worked with Stefano Ermon on diffusion models for satellite imagery.
My Bachelor's degree is in Social Studies from Harvard, with a minor in Global Health and Health Policy. My thesis focused on education policy, specifically attendance patterns and peer effects in an urban school district. My thesis was awarded a Hoopes Prize for Outstanding Undergraduate Research. My minor research paper focused on the effects of neighborhood socioeconomic status on local hospital quality, and was used as the "example paper" for students the following year.
Projects
Understanding all the nuances, modules, and key ML lessons from AlphaFold 3
A Framework for Solving the Cold Start Problem in Active Learning for Unlabelled Data
Using Generative Modeling to Reimagine Neighborhood Reconnections
Teaching
I'm currently a Course Assistant for CS274, Representations and Algorithms for Computational Molecular Biology. I have previously been a Course Assistant for Stanford's CS 229 (Machine Learning). If you are a student in either course, please reach out if I can be helpful!
Acknowledgement
This website uses the website design and template by Martin Saveski.