Bin Yu


Chancellor's Professor
Department of Statistics
Department of Electrical Engineering and Computer Science
University of California, Berkeley

I am currently working on statistical machine learning theory, methodologies, and algorithims for solving high-dimensional data problems. Current research topics of my group cover sparse modeling (e.g. Lasso), structured sparsity (e.g. hierarchical and group and graph path), analysis and methods for spectral clustering for undirected and directed graphs; and our data problems come from diverse interdisciplinary areas including genomics, neuroscience, remote sensing, document summarization, and social networks. My past research areas have also included empirical processes, markov chain monte carlo, signal processing, the minimum description length principle (MDL), and information theory.

Email: binyu [at] stat.berkeley.edu
Webpage: https://www.stat.berkeley.edu/~binyu
Office: 367 Evans Hall #3860 • Berkeley, CA 94720
Phone: 510-642-2021
Fax: 510-642-7892