Suchit Jhunjhunwala

Biography
Computational biologist, leading a portfolio of cancer immunogenomics in the Computational Sciences organization at Genentech. Leads a team of scientists working on cancer immunotherapy approaches targeting a range of tumor antigens, from neoantigens to tumor associated antigens, using cancer vaccination or cell therapy approaches. Before joining Genentech, Suchit worked on chromatin structure and regulation of B cell development at University of California San Diego. At Genentech, Suchit initially worked on cancer genomes, understanding the landscape of mutations and viral integration in hepatocellular carcinoma. His cancer genomics work eventually led to his role in studying neoantigens in mouse tumor models together with Lelia Delamarre and Ira Mellman. His current focus is on developing machine learning approaches to study peptideMHCTCR interactions, understanding and targeting transposable elements and other noncanonical antigens in cancer, and development of computational approaches to tackle cancer immunogenomics problems.

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Talk
Personalized Cancer Immunotherapy Using Computational Biology AI
Personalized cancer immunotherapy targets individual tumorspecific antigens, utilizing bioinformatics and machine learning approaches. This customizable treatment direction actively targets antigens that can be unique to each patient's tumor, using personalized targets as well as personalized therapeutics. Highthroughput technologies hav enabled development of AI approaches actively used in this field.