Summary
Aarthi Venkat is an Eric and Wendy Schmidt Center Postdoctoral Fellow at the Broad Institute with eight years of experience at the intersection of single-cell biology, computational genomics, and geometric deep learning. Trained at Yale (PhD) and UC San Diego (BS), she develops ML methods that embed biological knowledge and geometric priors to map continuous cellular heterogeneity and reveal multiscale mechanisms in disease and immunology. Her work spans academia and industry, including a Google Brain internship on ML-guided sequence design and genomics-focused roles that led to practical genome corrections and large-scale variant annotation. She balances method development with collaborative wet-lab partnerships, pedagogy, and science communication, and brings a systems-level perspective to translating graph and geometric ML into actionable biological insight. An uncommon strength is her track record of applying 3D genome and Hi-C analyses to correct reference genomes, showing she pairs theoretical advances with concrete, reproducible impact.
7 years of coding experience
3 years of employment as a software developer
University of California, San Diego
Doctor of Philosophy - PhD Computational Biology and Bioinformatics, Doctor of Philosophy - PhD Computational Biology and Bioinformatics at Yale University
French, English