Sidhanth Mohanty

Sidhanth's is interested broadly in theoretical computer science and probability theory, with particular interests in high-dimensional expansion, random matrix theory, mixing times of Markov chains, and error-correcting codes.

He is currently employed as an Assistant Professor in the Computer Science department at Northwestern University. He received his PhD in Computer Science in 2023 from UC Berkeley, where he was advised by Prasad Raghavendra, and was a postdoctoral researcher at MIT hosted by Sam Hopkins from August 2023 to August 2025.