Soumya Raychaudhuri
From Wikipedia, the free encyclopedia
Soumya Raychaudhuri | |
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| Born | October 10, 1975 |
| Alma mater | |
| Scientific career | |
| Fields | Computational biology genetics immunology |
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| Thesis | Using text to enhance the interpretation of large multi-dimensional data sets (2002) |
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| Website | immunogenomics |
Soumya Raychaudhuri is a Timothy P. and Keli B. Walbert Professor of Medicine and Biomedical informatics at Harvard Medical School, and an Institute Member at Broad Institute.[1] He is the director for the Center for Data Sciences at Brigham and Women's Hospital, where he is a clinically active rheumatologist. His research focuses on human genetics and computational genomics to understand immune-mediated diseases.[2][3]
Raychaudhuri completed his undergraduate degrees in biophysics and mathematics from State University of New York at Buffalo in 1997.[4] He went on to join the Stanford University Medical School where he completed his M.D. and Ph.D. degrees. He pursued clinical training in internal medicine, followed by subspecialty training in rheumatology at BWH. He concurrently completed postdoctoral training in human genetics at the Broad Institute with Mark Daly. In 2010, he launched his laboratory and joined the faculty at Harvard Medical School. He was promoted to Professor in 2018.
Research
His lab[5] at Harvard uses human genetics, functional genomics and bioinformatics techniques to study immune mediated diseases, such as rheumatoid arthritis. His lab has also been active in investigating the genetic basis of other diseases including and tuberculosis, age related macular degeneration and type I diabetes. His contributions to computational biology include standard methods in the analysis of transcriptome data, methods to interpret biological data with statistical text mining, and integrative methods to jointly analyze multiple functional genomic modalities together. He has developed methods to map complex trait loci, most notable within the HLA locus. He has also contributed to understanding how complex trait alleles influence gene regulation, particularly in T cells.
