Ashwin Pananjady is an Assistant Professor at Georgia Tech, with a joint appointment between the School of Industrial and Systems Engineering and the School of Electrical and Computer Engineering. His research interests lie broadly in statistics, optimization, and information theory, as well as their applications in data science, machine learning, and reinforcement learning. Pananjady received his Ph.D. from the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California Berkeley, and the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology Madras. He is a recipient of an Adobe Data Science Faculty Research Award, a Young Researchers Prize in Continuous Optimization (runner-up) from the Mathematical Optimization Society, the inaugural Lawrence D. Brown Award from the Institute of Mathematical Statistics, the David J. Sakrison Memorial Prize (for the best dissertation in EECS, UC Berkeley), a Simons-Berkeley Research Fellowship in Probability, Geometry and Computation in High Dimensions, an Outstanding Graduate Student Instructor award from UC Berkeley, and the Governor’s Gold medal from IIT Madras.