Ashia will be joining the MIT faculty as an assistant professor in Electrical Engineering and Computer Science (EECS) in 2021. She will be a member of the Faculty of Artificial Intelligence and Decision-Making (AI&D) and the Laboratory for Information & Decisions Systems (LIDS). She obtained her BA from Harvard University with a concentration in applied mathematics and a minor in philosophy, and her PhD from UC Berkeley in statistics. Before joining MIT, she held a postdoctoral position in the machine learning group at Microsoft Research, New England.
Her 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.
- Geometric Methods in Optimization and Sampling, Fall 2021. Workshop Organizer.