Anupama Jha

I am an Assistant Professor in the Department of Genetics at Yale University. My lab develops predictive machine-learning methods to understand 3D genome architecture and downstream gene regulation in healthy tissues and cancers. By building models that connect DNA sequence, chromatin organization, and functional readouts, my work aims to uncover the principles that govern genome regulation across biological contexts and to translate large-scale genomic data into interpretable models of cellular function. See this ten-minute talk at ISMB/ECCB 2024 or ISMB 2023 to get a flavor of my research.

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

I completed my Ph.D. in Computer Science at the University of Pennsylvania with Dr. Yoseph Barash, where I developed interpretable machine-learning methods to study tissue-specific splicing and RNA-binding protein regulatory networks. See this 15-minute talk at ISMB 2020 to discover more.