Zhou Fan is an Assistant Professor in the Department of Statistics and Data Science at Yale University. His research is driven by the goals of understanding high-dimensional phenomena in statistical inference and machine learning, developing computationally efficient algorithms for high-dimensional learning problems with structure, and bridging theoretical advances in these areas with scientific applications. Recent focuses of his work include random matrix and free probability theory, mean-field variational approximations in disordered systems, dynamics of approximate message passing algorithms, and problems of group orbit estimation in cryo-electron microscopy.
How do you use data science?
My primary research areas are statistics, data science, probability, and machine learning.