
About
Anindya De is an Associate Professor and Graduate Chair in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science. Previously, he served as an Assistant Professor at Northwestern University (2015–2018) and held postdoctoral roles at the Institute for Advanced Study (IAS), DIMACS, and the Simons Institute at UC Berkeley. He earned his Ph.D. in Computer Science from UC Berkeley (2013) and a B.Tech. from the Indian Institute of Technology Kanpur (2008).
His research focuses on complexity theory, analysis of Boolean functions, learning theory, and applied probability. Notable contributions include work on property testing, trace reconstruction, and algorithmic foundations. He has organized TCS+, an online seminar series in theoretical computer science, and served on program committees for conferences like FOCS, COLT, and STOC.
Key achievements include the IBM Pat Goldberg Memorial Math/CS/EE Best Paper Award (2014) and a Best Student Paper award at TCC 2012. His work bridges theoretical computer science with practical applications in stochastic optimization and pseudorandomness.
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