Ainesh Bakshi is an Assistant Professor at NYU. Prior to that, he was a Postdoctoral Fellow jointly appointed in the Mathematics and
Computer Science departments at MIT, after he obtained his PhD in Computer Science at CMU. He is broadly interested in theoretical
computer science and quantum information. His main research thread revolves around using the algorithmic toolkit, consisting of iterative
methods and convex hierarchies, to understand large quantum systems. These results were covered in two Quanta articles, two QIP Invited
Plenaries, a QIP Best Student Paper, and featured in Quanta Magazine’s “Biggest Breakthroughs in Computer Science 2024.” He is also
interested in extending this algorithmic toolkit and applying it to problems arising in high-dimensional statistics, privacy, metric
embeddings, and numerical linear algebra.
Education
2022 - 2025. Postdoctoral Fellow, Massachusetts Institute of Technology, US
2022. Ph.D., in Computer Science, Carneige Mellon, US
2017. B.S., in Computer Science, Rutgers University, US
