
Guo-Cheng Yuan, PhD
About Me
Dr. Guo-Cheng Yuan is a Professor of Computational Biology at Icahn School of Medicine at Mount Sinai. He is also a faculty member of the Icahn Genomics Institute. 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.
Language
Position
Research Topics
Bioinformatics, Brain, Cancer, Chromatin, Computational Biology, Epigenomics, Gene Regulation, Genomics, Immunology, Systems Biology
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS]
About Me
Dr. Guo-Cheng Yuan is a Professor of Computational Biology at Icahn School of Medicine at Mount Sinai. He is also a faculty member of the Icahn Genomics Institute. 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.
Language
Position
Research Topics
Bioinformatics, Brain, Cancer, Chromatin, Computational Biology, Epigenomics, Gene Regulation, Genomics, Immunology, Systems Biology
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS]