Ashwin Pananjady is a (soon to be graduating) PhD student in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California Berkeley, advised by Martin Wainwright and Thomas Courtade. His interests lie broadly in statistics, machine learning, information theory, and optimization, and include ranking and permutation estimation, high-dimensional and non-parametric statistics, high-dimensional probability, and reinforcement learning. He is a recipient of the inaugural Lawrence D. Brown PhD student award from the Institute of Mathematical Statistics, the David J. Sakrison Memorial Prize for his dissertation research (EECS, UC Berkeley), an Outstanding Graduate Student Instructor award from UC Berkeley, and the Governor's Gold Medal from IIT Madras.
After a stint at Simons, Ashwin will be joining Georgia Tech as an Assistant Professor, with a joint appointment between the School of Industrial and Systems Engineering and the School of Electrical and Computer Engineering.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Research Fellow.
- Information Theory, Spring 2015. Visiting Graduate Student.