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.

Identification of osteopontin as a prognostic plasma marker for head and neck squamous cell carcinomas.
Authors: Le QT, Sutphin PD, Raychaudhuri S, Yu SC, Terris DJ, Lin HS, Lum B, Pinto HA, Koong AC, Giaccia AJ.
Clin Cancer Res
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Inclusion of textual documentation in the analysis of multidimensional data sets: application to gene expression data
Authors: Raychaudhuri, S
Schutze, H
Altman, RB
Machine Learning
Using text analysis to identify functionally coherent gene groups.
Authors: Raychaudhuri S, Schütze H, Altman RB.
Genome Res
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Determining the genomic locations of repetitive DNA sequences with a whole-genome microarray: IS6110 in Mycobacterium tuberculosis.
Authors: Kivi M, Liu X, Raychaudhuri S, Altman RB, Small PM.
J Clin Microbiol
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Associating genes with gene ontology codes using a maximum entropy analysis of biomedical literature.
Authors: Raychaudhuri S, Chang JT, Sutphin PD, Altman RB.
Genome Res
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Whole-genome expression analysis: challenges beyond clustering.
Authors: Altman RB, Raychaudhuri S.
Curr Opin Struct Biol
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Cellular localization of fractalkine at sites of inflammation: antigen-presenting cells in psoriasis express high levels of fractalkine.
Authors: Raychaudhuri SP, Jiang WY, Farber EM.
Br J Dermatol
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Basic microarray analysis: grouping and feature reduction.
Authors: Raychaudhuri S, Sutphin PD, Chang JT, Altman RB.
Trends Biotechnol
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Severe combined immunodeficiency mouse-human skin chimeras: a unique animal model for the study of psoriasis and cutaneous inflammation.
Authors: Raychaudhuri SP, Dutt S, Raychaudhuri SK, Sanyal M, Farber EM.
Br J Dermatol
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Including biological literature improves homology search.
Authors: Chang JT, Raychaudhuri S, Altman RB.
Pac Symp Biocomput
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