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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.
We develop computational biology methodologies for genomic data analysis and integration, with the aim to understand systems-level gene regulatory mechanisms. Since virtually all the cells in a living organism share the same genome, epigenetic information provides an essential role in regulating cell-type specific gene regulation. Our long-term goal is to systematically investigate the structure and dynamics the gene regulatory network and its role in maintenance of cell-type specificity. To this end, we have developed integrated approaches to identify the chromatin state organization, to dissect cellular heterogeneity through single-cell analysis, and to reconstruct gene regulatory network by integrating multiple data-types. We have applied these approaches to stem cells and cancer biology. We collaborate closely with a number of basic scientists and clinical physicians at Harvard and affiliated hospitals.
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