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Swarat Chaudhuri is a Professor at the University of Texas at Austin in the Department of Computer Science. His research focuses on the intersection of formal methods and artificial intelligence (AI). Swarat received his Bachelor of Technology in Computer Science from the Indian Institute of Technology Kharagpur and completed his PhD in Computer Science at the University of Pennsylvania. He has previously been a faculty member at Pennsylvania State University and Rice University, where he taught a wide range of undergraduate and graduate courses in computer science. He has a strong track record of federally funded research and has received several accolades, including the NSF CAREER award, the Google Research Award, and the ACM SIGPLAN John Reynolds Doctorate Dissertation Award, along with multiple distinguished paper awards. His current research vision is to build the next generation of AI systems designed with a focus on reliability, transparency, and security, seeking to synthesize ideas from programming languages, formal methods, and machine learning.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.