Assistant Professor, Computer Science, Northwestern University

Email: sidhanth.mohanty@northwestern.edu

Office: 3510 Mudd Hall

I am a mathematician/computer scientist, generally interested in theoretical computer science and probability theory. Most recently, I have been interested in mixing times of Markov chains, high-dimensional expansion, random matrix theory, and error-correcting codes.

My academic journey began as an undergraduate at Carnegie Mellon University, where I was lucky to be advised by Ryan O’Donnell. My PhD education was in the Theory Group at UC Berkeley, under the amazing guidance of Prasad Raghavendra. I was later a postdoc in the Theory of Computation group at MIT, where I was hosted by Sam Hopkins.

If you happen to encounter any of my work, feel free to reach out: questions and feedback are highly appreciated!

I am looking for PhD students: if you are interested in the intersection of theoretical computer science and probability theory, do consider applying to Northwestern. Check out my note on why I think Northwestern is a fun place to be for one with these interests.