Eshan Chattopadhyay is currently an Assistant Professor in the Department of Computer Science at Cornell University. He joined Cornell in 2018 after completing postdoctoral work at the Institute for Advanced Study in Princeton and the Simons Institute for the Theory of Computing in Berkeley. Prior to this, he earned his PhD in Computer Science from the University of Texas at Austin in 2016 and his B.Tech in Computer Science from the Indian Institute of Technology (IIT) Kanpur in 2011.
His research interests lie in the field of theoretical computer science, with a particular focus on computational complexity theory, cryptography, and the role of randomness in computation. In recognition of his research accomplishments, he has received several awards, including a Sloan Research Fellowship in 2023, an NSF CAREER award in 2021, an NSF CRII award in 2019, a best paper at STOC 2016, and the Bert Kay Dissertation Prize from the department of Computer Science at UT Austin for PhD thesis.