Speakers

I'm a computational biologist and machine learning researcher focused on developing technologies that drive biological discovery,  particularly in gene regulation. I build tools - ranging from deep  learning models to interactive visualizations - that help researchers extract meaning from complex genomic data. 
 
My recent work includes applying and fine-tuning large-scale deep learning models to uncover patterns in DNA methylation, chromatin  accessibility, and regulatory activity that inform cell state,  epigenetic memory, and cancer biology. I've also developed scalable visualization tools to interpret deep learning models of  sequence-to-function relationships. As part of the dGTEx consortium, I  help integrate and analyze multiomic data from single-cell and spatial  assays across dozens of tissues and developmental stages, building a  comprehensive resource for understanding gene regulation in pediatric and adolescent donors.