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Tom Gur is a Professor in the Department of Computer Science and Technology at the University of Cambridge, specializing in theoretical computer science with a focus on complexity theory and quantum computing. His research interests broadly encompass classical and quantum complexity theory, with particular emphasis on sublinear algorithms, cryptography—including zero-knowledge proofs and probabilistically checkable proofs—and computational learning theory. Gur has garnered support for his research from various prestigious organizations such as the European Research Council (ERC) and UK Research and Innovation (UKRI). He is actively involved in supervising students, including PhD and postdoctoral researchers, and welcomes inquiries from prospective PhD students and postdocs. Additionally, he has played a significant role in many editorial and program committees, contributing to the academic community as an associate editor for SIAM Journal Computing and Chicago Journal of Theoretical Computer Science. His extensive publication record includes significant contributions to the fields of quantum learning algorithms and complexity theory, showcasing his influence in advancing knowledge in these areas.
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