Anshul Kundaje is an Assistant Professor of Genetics and Computer Science at Stanford University. His primary research area is large-scale computational regulatory genomics. The Kundaje lab specializes in developing statistical and machine learning methods for large-scale integrative analysis of heterogeneous, high-throughput functional genomic and genetic data to decipher regulatory elements and long-range regulatory interactions, learn predictive regulatory network models across individuals, cell-types and species and improve detection and interpretation of natural and disease-associated genetic variation. Previously as a postdoc at Stanford and Research Scientist at MIT, Anshul was the lead computational analyst of the ENCODE Project and the Roadmap Epigenomics Project. Anshul is also a recipient of the 2016 NIH Director's New Innovator Award and the 2014 Alfred Sloan Fellowship.
Honors & Awards
HUGO Chen Award of Excellence, Human Genome Organization (2019)
NIH Director's New Innovator Award, NIH (2016)
Alfred Sloan Foundation Research Fellowship, Alfred Sloan Foundation (2014-2016)
Boards, Advisory Committees, Professional Organizations
Advisor, NIH Director's Advisory Committee for Artificial Intelligence in Biomedical Research (2019 - Present)