Anshul Kundaje

Anshul Kundaje is an Associate Professor of Genetics and Computer Science at Stanford University, leading the Kundaje Lab. His research focuses on computational regulatory genomics, developing machine learning methods to analyze functional genomic data and understand genetic variation. He contributed as a lead analyst for the ENCODE and Roadmap Epigenomics Projects and holds awards like the NIH New Innovator Award (2016) and Sloan Fellowship (2014).

His work integrates multi-omics data to study regulatory elements, long-range interactions, and disease-associated genetic variants. Key interests include deep learning applications in genomics, enhancer-gene interactions, and gene-environment interactions in colorectal cancer. The lab also explores synthetic biology tools for regulatory DNA engineering and diagnostic approaches using immune receptor sequences.

• Awards: NIH Director's New Innovator Award (2016), Alfred P. Sloan Research Fellowship (2014).
• Labs/Teams: Kundaje Lab at Stanford University, collaborating with ENCODE and MorPhiC Consortia.
• Grants/Funding: Supported by NIH and initiatives in computational biology, though specific grants are not detailed here.

His research bridges computational methods and biological discovery, addressing challenges in precision medicine, cancer genomics, and aging mechanisms. Ongoing projects include multi-omic profiling of age-related diseases and developing predictive models for regulatory DNA function.