Sara Rosenthal is a computational biologist and research leader with over a decade of experience turning large-scale genomic, single-cell, and spatial datasets into clinical and biological insights. As Associate Director for Research at UC San Diego’s CCBB she directs multi-omics strategy across 50+ interdisciplinary projects in oncology, neurodevelopmental disorders, and precision medicine, combining machine learning and network biology to nominate therapeutic targets and biomarkers. She has built and led cross-functional teams to create reproducible, cloud-enabled pipelines (AWS, GCP, Slurm) and has co-authored 50+ papers in top journals like Science, Nature, Cell, and PNAS. Trained as a physicist at Princeton, Sara brings a quantitative systems perspective—evident from earlier work modeling collective behavior—to complex biological problems, bridging discovery and translational applications.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.), Physics, Bachelor of Arts (B.A.), Physics at Cornell University
PhD, Physics, PhD, Physics at Princeton University
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