Dr. Anshul Kundaje is Associate Professor of Genetics and Computer Science at Stanford University. The Kundaje lab develops machine learning models of gene regulation to decipher the genetic and molecular basis of disease. The lab has pioneered deep learning models and interpretation frameworks to decode the functional language encoded in DNA, RNA and proteins. Dr. Kundaje has led computational efforts of large genomics consortia including the ENCODE Project and the Roadmap Epigenomics Project. Dr. Kundaje is a recipient of the NIH Director's New Innovator Award, the Alfred Sloan Fellowship and the HUGO Chen Award of Excellence.

Dr. Kundaje's laboratory develops innovative machine learning methods to predict and decode biological sequences, molecular interactions, and genetic variation. They have pioneered deep learning models and interpretation frameworks that decode DNA and RNA sequence syntax governing context-specific transcription factor binding, RNA binding protein interactions, chromatin accessibility, histone modifications, transcription initiation, gene expression, alternative polyadenylation, and RNA editing. Using these approaches, they have built regulatory models across thousands of cellular contexts in humans and mice, elucidating dynamic regulation during differentiation and cellular reprogramming. The lab's methodological contributions span regulatory element mapping, deciphering the cis-regulatory code, long-range regulatory interaction modeling, and predictive regulatory network construction. The Kundaje lab has adapted protein language models to predict and design transcription factor effector domains and developed machine learning frameworks leveraging T-cell and B-cell repertoire sequences for disease diagnostics.