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个人简介
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.
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CoRR (2024)
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arxiv(2024)
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ANNALS OF STATISTICSno. 1 (2023): 179-210
CoRR (2023)
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