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.
Department of Statistics
Department of Electrical Engineering & Computer Science
University of California, Berkeley
mail: 367 Evans Hall #3860 • Berkeley, CA 94720 • phone: 510-642-2021 • fax: 510-642-7892
Research supported by regular NSF grants, ARO grants, Miller Research Professorship (Spring, 04), and Guggenheim Foundation (2006-2007), NSF CDI Grant (2008-2012), and NSF STC Grant on Emerging Information Science (2010-2014)