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Amir Dembo is a Marjorie Mhoon Fair Professor at Stanford University, specializing in Quantitative Science, Mathematics, and Statistics. He has a distinguished career focusing on probability theory and its applications, contributing significantly to the fields of statistical mechanics, large deviations, and stochastic processes. Dembo's research integrates theoretical approaches with practical applications, making substantial impacts in areas such as information theory and statistical inference. He is actively involved in doctoral dissertation supervision and has served as a postdoctoral faculty sponsor, mentoring several students during their academic journeys. His dedication to teaching is reflected in his department positions and the various courses he has taught at Stanford, including advanced courses in mathematics and statistics. Dembo's work has garnered him recognition in the academic community, leading to numerous publications and contributions to significant academic discussions in quantitative methods and statistical science.
Stanford University • Stanford, California
Serving as a Professor in both the Mathematics and Statistics departments, focusing on advanced quantitative science.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.