معرفی
Zhou Fan is an Associate Professor in the Department of Statistics and Data Science at Yale University, specializing in mathematical statistics, probability theory, and computational algorithms with applications in statistical genetics and computational biology.
Education:
- Ph.D. in Statistics, Stanford University, 2018
His research spans Random matrices and free probability, Statistical physics and inference, High-dimensional statistics and machine learning, and Applications in genetics and computational biology. He develops theoretical frameworks for complex data analysis, focusing on inferential problems in scientific contexts through advanced computational methods.
Recent publications demonstrate leadership in Approximate Message Passing algorithms, empirical Bayes methods, and group orbit estimation, with significant contributions to high-dimensional statistics and biological applications. His work bridges statistical theory with practical computational solutions for modern data challenges.
As Co-Director of Graduate Studies, Professor Fan provides academic leadership for the department's graduate program while teaching advanced courses in high-dimensional probability, statistical theory, and random matrix applications.
