Summary
Jeff Saucerman is a Professor of Biomedical Engineering and Cardiovascular Medicine at the University of Virginia who applies computational modeling and high-throughput experimental methods to map gene-regulatory and signaling networks that govern heart function, remodeling, and regeneration. He leads interdisciplinary work combining large-scale regulatory network modeling, bioinformatics of omic data, and automated microscopy of primary and iPSC-derived cardiomyocytes to identify molecular drivers of hypertrophy, cell death, extracellular matrix remodeling, and cardiomyocyte proliferation. With a Ph.D. in Bioengineering from UC San Diego and over two decades of academic experience culminating in a professorship since 2020, he bridges quantitative computation and wet-lab discovery to advance therapeutic discovery. Notably, his lab pairs systems-level predictions with high-throughput experimental validation, accelerating translation from network models to candidate drugs.
8 years of coding experience
15 years of employment as a software developer
University of California, San Diego
B.S., Engineering Science, B.S., Engineering Science at Penn State University