BAGIM is an active community of Boston area scientists bringing together people from diverse fields of modeling and informatics to impact life and health sciences. BAGIM strives to create a forum for great scientific discussions covering a wide range of topics including data management, visualization, computational chemistry, drug discovery, protein structure, molecular modeling, structure-based drug design, data mining, software tools, and the sharing of goals and experiences. Our community is made up of participants from academia, government, and industry whose goal is to engage in the discussion of science involving a synthesis of theory and technology. Discussions sponsored by BAGIM are targeted to the needs and interests of informatics scientists, computational chemists, medicinal chemists, and statisticians. BAGIM also provides opportunities for networking within these disciplines as well as an arena for the dissemination of information of specific interest to the membership.

Saturday, February 11, 2023

Soumya Raychaudhuri: Using genetics & genomics to define mechanisms autoimmunity

We are happy to announce our latest speaker Soumya Raychaudhuri, Professor of Medicine and Biomedical Informatics, Harvard Medical School, https://immunogenomics.hms.harvard.edu/

Please join us for a virtual event on

Date: April 12, 2023

Time: noon ET / 9 am PT

Sign-up: BAGIM Meetup

Title: Using genetics and genomics to define mechanisms of autoimmunity

Abstract: To be confirmed

About the speaker:

Dr. Soumya Raychaudhuri is an Associate Professor at Harvard Medical School and at Brigham and Women’s Hospital. He is also appointed as an Associate Member at the Broad Institute and a Visiting Professor in Genetics at the University of Manchester. He matriculated into the Stanford University NIH funded MST program in 1997 after completing degrees in mathematics and biophysics at the University at Buffalo. In 2004, he completed both his medical training and his doctoral training in biomedical informatics. After completing his clinical training in Internal Medicine, he joined the rheumatology fellowship training program in 2006, and concurrently completed his postdoctoral fellowship training under Mark Daly at the Broad Institute. Since starting his own group in 2010 at Harvard Medical School and Brigham and Women’s Hospital, his lab has focused on finding and fine-mapping disease alleles and understanding their significance in immune-mediated diseases. He has focused on multiple diseases including rheumatoid arthritis, type I diabetes, and tuberculosis infection. He has worked on fine-mapping HLA loci, devising integrative statistical genetics strategies to identify causal variation by taking advantage of largescale epigenetic data, and integrating genetic data with functional genomics and data on human immunological phenotypes.

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