Guo-Cheng Yuan received his B.Sc and M.A. degrees from Peking University, China, and his Ph.D. in Mathematics from University of Maryland at College Park. Dr. Yuan’s prior work experience spanned diverse fields including chaos theory and weather prediction. He did postdoctoral training in Computational Biology at Harvard University. He is currently an Associate Professor at the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health.
The long-term goal of our lab is to gain systems-level understanding of the regulatory mechanisms underlying cell-state maintenance and transitions. We develop computational methods to analyze and integrate various genome-scale datasets. These methods are used to systematically characterize and predict the function of the genome and regulatory proteins. We are particularly interested in studying the organization and function of chromatin states, gene regulatory networks, and single-cell genomics. We have applied these approaches to various biological systems such as embryonic stem cell, hematopoiesis, and cancer in collaboration with numerous experimental groups.