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Anshul Kundaje is an Assistant Professor of Genetics and Computer Science at Stanford University. The Kundaje lab develops statistical and machine learning methods for large-scale integrative analysis of functional genomic data to decode regulatory elements and pathways across diverse cell types and tissues and understand their role in cellular function and disease. Anshul completed his Ph.D. in Computer Science in 2008 from Columbia University. As a postdoc at Stanford University from 2008-2012 and a research scientist at MIT and the Broad Institute from 2012-2014, he led the integrative analysis efforts for two of the largest functional genomics consortia - The Encyclopedia of DNA Elements (ENCODE) and The Roadmap Epigenomics Project. Dr. Kundaje is a recipient of the 2019 Chen Award of Excellence from the Human Genome Organization, 2016 NIH Director’s New Innovator Award and The 2014 Alfred Sloan Foundation Fellowship. Anshul is also a member of the NIH Director's Advisory Committee for Artificial Intelligence in Biomedical Research. Currently teaching
GENE 222: Cloud Computing for Biology and Healthcare
(Spring)
BIOMEDIN 222: Cloud Computing for Biology and Healthcare (Spring) BIODS 237: Deep Learning in Genomics and Biomedicine (Spring) CS 273C: Cloud Computing for Biology and Healthcare (Spring) CS 273B: Deep Learning in Genomics and Biomedicine (Spring) |