Anupama Jha

I am an Assistant Professor of Genetics at Yale University. I develop predictive models for 3D genome architecture, and downstream gene regulation across healthy tissues and cancers with large-scale machine learning methods. See this one-minute talk at MLCB 2023 or this ten-minute talk at ISMB/ECCB 2023 to get a flavor of my research.

Previously, I was a postdoctoral scholar at the University of Washington with Prof. William Stafford Noble. In my postdoc, I developed TwinC, an early sequence-to-function model for trans-chromosomal DNA contacts in the nucleus and Fibertools for m6A calling in long-read Fiber-seq data.

Till 2020, I was a Computer Science Ph.D. student at the University of Pennsylvania with Dr. Yoseph Barash. My research focus during my Ph.D. was developing and applying interpretable machine-learning methods for answering core biological questions related to splicing differences between tissues and regulatory networks of RNA-binding proteins. See this 15-minute talk at ISMB 2020 to discover more.