Ashia’s research focuses on the methodological foundations and theory of various topics in machine learning. She is interested in developing frameworks for algorithmic assessment and providing rigorous guarantees for algorithmic performance. She received her BA from Harvard University with a concentration in applied mathematics and a minor in philosophy, and a PhD from UC Berkeley in statistics. She most recently held a postdoctoral position in the machine learning group at Microsoft Research, New England. Ashia joined LIDS and MIT in January 2021 as an Assistant Professor in EECS.