Shelby Heinecke

AI Researcher 🤖 | Software Engineer 👩🏽‍💻

I’m Shelby. I’m originally from Maryland 🦀 and I now live in Silicon Valley. I recently finished my PhD focusing on theoretical machine learning at UIC, where I was advised by Lev Reyzin. I am currently a Research Scientist 👩🏽‍🔬 at Salesforce Research working on both fundamental research and product applications.

I started my graduate school journey pursuing pure mathematics. Inspired by internship experiences, I transitioned to theoretical computer science and machine learning.

In my thesis work, I focused on problems related to network science and PAC learning in distributed settings. I’m currently expanding my research vision. Lately, I’ve been working on problems related to recommendation systems.


 Ph.D. in Mathematics
 University of Illinois at Chicago

 M.S. in Mathematics
 Northwestern University

 B.S. in Mathematics
 Massachusetts Institute of Technology

Outside of work, I like to hike ⛰, play Civilization 6, read, and have fun with my husband and cat. I also enjoy teaching and mentoring.