Stephanie Milani

I am an Assistant Professor / Faculty Fellow at NYU Courant. I work with Rajesh Ranganath and Sumit Chopra. In 2026, I will join Johns Hopkins University as an Assistant Professor in the Computer Science Department. My ultimate goal is to create practical AI agents that can learn from feedback to complement and augment human abilities. This involves studying, building, and improving techniques for reinforcement learning, foundation models, and human-centered AI.

I did my PhD in Machine Learning at Carnegie Mellon University, where I was advised by Fei Fang. I am a Rising Star in ML & Systems, a Future Leader in Responsible Data Science & AI, and a Rising Star in Data Science. During my Ph.D., I interned at Microsoft Research twice, once with Geoff Gordon and once with Katja Hofmann.