Deep Learning for Causal Discovery in Regulatory Genomics by Anshul Kundaje, PhD. 

Anshul Kundaje is Associate 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. This video is titled "Deep Learning for Causal Discovery in Regulatory Genomics" and is from the NSF-NIH Workshop on Foundational AI Techniques in Biology held on June 8-9, 2023.