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. 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 (with honors) in Electrical Engineering from the Indian Institute of Technology Madras. His accolades include the David J. Sakrison Memorial Prize from UC Berkeley for the best dissertation in EECS, a Simons-Berkeley Research Fellowship, early career recognitions from the Bernoulli Society and Institute of Mathematical Statistics, paper prizes from the Mathematical Optimization Society and Algorithmic Learning Theory conference, industry research awards from Amazon and Adobe, and teaching recognitions from Georgia Tech and UC Berkeley.