Ainesh Bakshi

Email: ainesh (at) mit (dot) edu

Office: 2-174

I am currently a postdoc in the Computer Science and Mathematics departments at MIT, where I collaborate closely with Ankur Moitra, Sam Hopkins and Piotr Indyk. I am broadly interested in Theoretical Computer Science and my current research interests lie in the intersection of algorithm design and learning theory. More specifically, I spend time thinking about the sum-of-squares convex programming hierarchy, randomized numerical linear algebra, algorithmic statistics, quantum information theory, and high-dimensional probability.

I recently finished my PhD at Carnegie Mellon University, where I was extremely fortunate to be co-advised by Pravesh Kothari and David Woodruff. During the summer of 2021, I interned with Madhur Tulsiani and Yury Makarychev at Toyota Technological Institute-Chicago and in summer 2020, I interned with Ken Clarkson at IBM Almaden.

Even earlier, I was an undergrad at Rutgers, New Brunswick, where I had the pleasure of working with Martin Farach-Colton and Pranjal Awasthi.



Undergraduate Work

Teaching and Service