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Alistair Sinclair is a Professor in the Department of Statistics at the University of California, Berkeley. His research focuses on algorithms, applied probability, statistics, and the use of Markov chains. Sinclair has made significant contributions to theoretical computer science, randomized computation, and statistical physics. His work emphasizes the design and analysis of algorithms, particularly through the lens of probabilistic methods. His expertise encompasses topics such as random walks, Markov chain Monte Carlo techniques, and combinatorial optimization. Sinclair's research not only explores theoretical aspects but also aims at practical computational applications, which helps in understanding complex systems and phenomena. His academic achievements have established him as a leading figure in his field, and he continues to contribute to both research and education in statistics and computer science.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.