Soumya Raychaudhuri, M.D., Ph.D.

Soumya Raychaudhuri, MD, PhD

Professor of Medicine, Brigham and Women's Hospital
Professor of Biomedical Informatics, Harvard Medical School (Secondary)
Visiting Professor in Genetics, University of Manchester

Soumya Raychaudhuri serves as the Director for the Center for Data Sciences (BWH, HMS) and is appointed as an Associate Member at the Broad Institute. Additionally he is clinically active and sees patients at Brigham and Women’s Hospital Arthritis Center. After completing his MD/PhD at Stanford University, Raychaudhuri pursued clinical training in internal medicine, and then went on to pursue subspecialty training in rheumatology at Brigham and Women’s Hospital. He concurrently completed postdoctoral training in human genetics at the Broad Institute with Dr. Mark Daly. Since joining the faculty at Harvard Medical School in 2010, he has contributed to the understanding of the genetic basis of rheumatoid arthritis and other immune-mediated diseases. He has also been at the forefront of devising statistical and computational methods to localize genetic association signals to causal variants, and to interpret human genetic data in the context of functional information. He currently has active research programs in the human genetics and functional genomics of tuberculosis, type I diabetes, and rheumatoid arthritis, with a specific focus on using genomic strategies to understand CD4+ T cell biology.

A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history.
Authors: Maurits MP, Korsunsky I, Raychaudhuri S, Murphy SN, Smoller JW, Weiss ST, Huizinga TWJ, Reinders MJT, Karlson EW, van den Akker EB, Knevel R.
J Am Med Inform Assoc
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Rheumatoid Arthritis Synovial Inflammation Quantification Using Computer Vision.
Authors: Guan S, Mehta B, Slater D, Thompson JR, DiCarlo E, Pannellini T, Pearce-Fisher D, Zhang F, Raychaudhuri S, Hale C, Jiang CS, Goodman S, Orange DE.
ACR Open Rheumatol
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HLA autoimmune risk alleles restrict the hypervariable region of T cell receptors.
Authors: Ishigaki K, Lagattuta KA, Luo Y, James EA, Buckner JH, Raychaudhuri S.
Nat Genet
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Repertoire analyses reveal T cell antigen receptor sequence features that influence T cell fate.
Authors: Lagattuta KA, Kang JB, Nathan A, Pauken KE, Jonsson AH, Rao DA, Sharpe AH, Ishigaki K, Raychaudhuri S.
Nat Immunol
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TCR-sequencing in cancer and autoimmunity: barcodes and beyond.
Authors: Pauken KE, Lagattuta KA, Lu BY, Lucca LE, Daud AI, Hafler DA, Kluger HM, Raychaudhuri S, Sharpe AH.
Trends Immunol
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Author Correction: A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response.
Authors: Luo Y, Kanai M, Choi W, Li X, Sakaue S, Yamamoto K, Ogawa K, Gutierrez-Arcelus M, Gregersen PK, Stuart PE, Elder JT, Forer L, Schönherr S, Fuchsberger C, Smith AV, Fellay J, Carrington M, Haas DW, Guo X, Palmer ND, Chen YI, Rotter JI, Taylor KD, Rich SS, Correa A, Wilson JG, Kathiresan S, Cho MH, Metspalu A, Esko T, Okada Y, Han B, McLaren PJ, Raychaudhuri S.
Nat Genet
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Maximizing statistical power to detect differentially abundant cell states with scPOST.
Authors: Millard N, Korsunsky I, Weinand K, Fonseka CY, Nathan A, Kang JB, Raychaudhuri S.
Cell Rep Methods
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Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics.
Authors: Reshef YA, Rumker L, Kang JB, Nathan A, Korsunsky I, Asgari S, Murray MB, Moody DB, Raychaudhuri S.
Nat Biotechnol
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IL-1-driven stromal-neutrophil interactions define a subset of patients with inflammatory bowel disease that does not respond to therapies.
Authors: Friedrich M, Pohin M, Jackson MA, Korsunsky I, Bullers SJ, Rue-Albrecht K, Christoforidou Z, Sathananthan D, Thomas T, Ravindran R, Tandon R, Peres RS, Sharpe H, Wei K, Watts GFM, Mann EH, Geremia A, Attar M, McCuaig S, Thomas L, Collantes E, Uhlig HH, Sansom SN, Easton A, Raychaudhuri S, Travis SP, Powrie FM.
Nat Med
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Efficient and precise single-cell reference atlas mapping with Symphony.
Authors: Kang JB, Nathan A, Weinand K, Zhang F, Millard N, Rumker L, Moody DB, Korsunsky I, Raychaudhuri S.
Nat Commun
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