Guo-Cheng Yuan, PhD
- SENIOR FACULTY | Genetics and Genomic Sciences
Research Topics:Bioinformatics, Brain, Cancer, Chromatin, Computational Biology, Epigenomics, Gene Regulation, Genomics, Immunology, Systems Biology
Dr. Guo-Cheng Yuan is a Professor of Computational Biology at Icahn School of Medicine at Mount Sinai. Prior to his current appointment, he was an Associate Professor at Dana-Farber Cancer Institute/Harvard Medical School and a Principal Faculty member at Harvard Stem Cell Institute. He obtained B.S and M.A degrees in Mathematics from Peking University, and a PhD degree in Mathematics from University of Maryland, followed by postdoctoral training at Brown University. Dr. Yuan transitioned into a computational biologist by taking up a postdoctoral fellow position at Harvard University before joining Dana-Farber as a faculty member. Dr. Yuan’s group has developed a number of computational methods for analyzing and interpreting large-scale biological data. Notable examples include methods for epigenomics (Haystack, diHMM, CUT&RUNTools), for single-cell analysis (SCUBA, GiniClust, Giotto), and for genome-editing (CRISPResso). For over a decade, Dr. Yuan’s group has collaborated with basic scientists and cancer biologists to elucidate the gene regulatory mechanisms in development and diseases.
Multi-Disciplinary Training AreaGenetics and Data Science [GDS]
PhD, University of Maryland
Postdoc, Harvard University
We develop computational methods to comprehensively analyze spatial data and user-friendly, generally applicable software packages and apply these tools to dissect tissue structure and investigate the role of environment in mediating cellular activities.
We develop computational methods to analyze various genome-wide assays to characterize the structural organization and regulatory role of chromatin in development and diseases.
We develop computational methods to analyze and integrate single-cell multi-omic data with the aim to systematically characterize the landscape of cellular states and investigate the underlying regulatory mechanisms.