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Assistant Professor
Bio
Shubhada Agrawal is an Assistant Professor in the Department of Electrical Communication Engineering (ECE) at the Indian Institute of Science (IISc), Bengaluru.
During 2023-24 she was a postdoctoral researcher mentored by Siva Theja Maguluri at Georgia Tech., and by Aaditya Ramdas at Carnegie Mellon University. In Dec. 2022, she completed her PhD from the School of Technology and Computer Science at the Tata Institute of Fundamental Research (TIFR), Mumbai, under the guidance of Sandeep Juneja. Her PhD was partly supported by the Google PhD Fellowship in Machine Learning. Before joining TIFR, she worked in quantitative finance industry for a couple of years. She did her undergraduation (B.Tech+M.Tech) in Mathematics and Computing at IIT Delhi.
Expertise
Shubhada Agrawal’s research primarily centers around learning theory, with a particular emphasis on sequential decision-making in uncertain environments. She has extensively explored various problems within the multi-armed bandit framework. She has also been looking at stochastic approximation techniques to advance theoretical understanding of reinforcement learning.
