Sidhanth Mohanty
Graduate Student, UC Berkeley
Sidhanth Mohanty is a PhD student in the Theory Group at UC Berkeley, advised by Prasad Raghavendra. Sidhanth is interested in random matrix theory, combinatorics, and geometry of polynomials.
Program Visits
- Computational Complexity of Statistical Inference, Fall 2021. Visiting Graduate Student.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Visiting Graduate Student.
- Geometry of Polynomials, Spring 2019. Visiting Graduate Student.
