About

Ashwin Pananjady is a Gerald D. McInvale Early Career Professor and Assistant Professor at Georgia Tech with a joint appointment between the H. Milton Stewart School of Industrial and Systems Engineering and the School of Electrical and Computer Engineering. He is also a Gary C. Butler Family Faculty Fellow. His research interests lie broadly in statistics, optimization, and information theory, as well as their applications in data science, machine learning, and reinforcement learning. He is particularly interested in statistical and computational problems arising from high-dimensional data with geometric structure.

Dr. Pananjady received his Ph.D. from the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California Berkeley, where he received the David J. Sakrison Memorial Prize for his dissertation research, and the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology Madras, where he graduated with the Governor's Gold Medal.

He is a recipient of early career awards such as the New Researcher Award (honorable mention) from the Bernoulli Society and the Lawrence Brown award from the Institute of Mathematical Statistics, paper recognitions such as a best paper prize (runner-up) for Young Researchers in Continuous Optimization from the Mathematical Optimization Society and an Outstanding Paper Award from the Algorithmic Learning Theory conference, faculty research awards from Adobe and Amazon, and a Simons-Berkeley Research Fellowship in Probability, Geometry and Computation in High Dimensions. His teaching has been recognized at both UC Berkeley and Georgia Tech.