Andrew Ilyas
Assistant Professor, Electrical and Computer Engineering, Software and Societal Systems Department
Andrew Ilyas is an incoming assistant professor at CMU, starting Spring 2026. Previously, he was a Stein Fellow at Stanford Statistics and a Ph.D. student MIT, where he was fortunate to be advised by Costis Daskalakis and Aleksander Madry and supported by an Open Philanthropy AI Fellowship. Ilyas attended MIT for undergrad, majoring in CS and in Math. Outside of research, I enjoy playing soccer and table tennis.
Ilyas's goal is to uncover general principles that describe and predict the behavior of ML systems—ideally enabling predictably reliable future systems. This goal entails combining statistical tools with large-scale experiments to precisely understand the ML "pipeline," from training data (and the way we collect it), to learning algorithms, to deployment. He also likes thinking broadly about (human) trust in AI systems.