Ashwin Pananjady

Assistant Professor


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  • Ashwin Pananjady Google Scholar


  • Ph.D. Electrical Engineering and Computer Sciences (2020), University of California, Berkeley
  • B.Tech. Electrical Engineering (2014), Indian Institute of Technology, Madras


  • High-dimensional statistics
  • Statistical machine learning
  • Mathematical Programming
  • Information theory
  • Reinforcement learning


Ashwin Pananjady is an 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. 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, and the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology Madras. During his PhD, he spent a couple of summers working in industrial research labs at Amazon and Microsoft. Before coming to Georgia Tech, he spent a semester at the Simons Institute for the Theory of Computing as a research fellow in the program on Probability, Geometry and Computation in High Dimensions.

He is a recipient of faculty research awards from Adobe and Amazon, a best paper prize (runner-up) for Young Researchers in Continuous Optimization, the inaugural Lawrence D. Brown Ph.D. student award from the Institute of Mathematical Statistics, the David J. Sakrison Memorial Prize for his dissertation research (EECS, UC Berkeley), and a Simons-Berkeley Research Fellowship. His teaching has been recognized at both UC Berkeley and Georgia Tech.