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Rohan Padhye is an Assistant Professor whose research focuses on software engineering, programming languages, systems, and security. His work seeks to automatically discover software bugs utilizing advanced techniques such as dynamic program analysis and coverage-guided fuzz testing. Padhye's recent projects have led to the discovery of over 50 new bugs within widely-used open-source software, which have been adopted by various firms in the industry. He received his Ph.D. in Computer Science from the University of California, Berkeley, where his dissertation investigated techniques for program analysis and automated testing tools, incorporating knowledge from domain experts. His collaboration with Microsoft Research enabled the detection of thousands of concurrency bugs at an industry scale. Padhye's foundation in software engineering was further strengthened during his years at IBM Research in India, where he developed productivity tools leveraging data mined from GitHub repositories. He also holds a Master's degree from the Indian Institute of Technology, Bombay, and served as the lead designer of the ChocoPy programming language, which is utilized in undergraduate compiler courses at UC Berkeley.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.