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Swarat Chaudhuri is an Associate Professor of computer science at the University of Texas at Austin. His research lies in the intersection of Programming Languages (PL) and Machine Learning (ML). Specifically, he studies ways in which PL and ML techniques can be brought together to build robust and trustworthy intelligent systems targeting complex tasks such as software development and robot control.
Swarat received a bachelor’s degree in computer science from the Indian Institute of Technology, Kharagpur, in 2001, and a doctoral degree in computer science from the University of Pennsylvania in 2007. Before joining UT Austin, he held faculty positions at Rice University and the Pennsylvania State University. He is a recipient of the National Science Foundation CAREER award, the ACM SIGPLAN John Reynolds Doctoral Dissertation Award, and the Morris and Dorothy Rubinoff Dissertation Award from the University of Pennsylvania.
|MAPS 2022|| General Chair in Organizing Committee within the MAPS 2022-track|
Session Chair of Evening (part of MAPS 2022)
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