Summary
Grace Zheng is a genomics and machine-learning leader with over a decade of experience translating large-scale biological data into predictive models and therapeutics. As Co-Founder and CEO of PerturbAI she built an AI-native platform that combines in vivo Perturb-seq with agent-based models, launching the largest in vivo CRISPR perturbation atlas mapping thousands of perturbations across 8 million brain cells. Previously she scaled computational biology and ML orgs at ArsenalBio and helped pioneer single-cell genomics products at 10x Genomics, driving collaborations with Genentech and NVIDIA and advancing multiple therapeutic programs toward IND. Trained as a computational and systems biologist (PhD, MIT) with hands-on postdoctoral and experimental experience, she bridges wet lab, software engineering, and AI to ground drug discovery in causal, in vivo biology. Known for building interdisciplinary teams and foundational models of cellular systems, she combines deep domain expertise with startup leadership to operationalize ambitious biological datasets into actionable discovery. Based in California, she pairs a rare mix of bench-side credibility and production-scale ML engineering.
10 years of coding experience
11 years of employment as a software developer
Ignite program, Innovation and Entrepreneurship, Ignite program, Innovation and Entrepreneurship at Stanford University Graduate School of Business
PhD, Computational and Systems Biology, PhD, Computational and Systems Biology at Massachusetts Institute of Technology
Bachelor of Science (B.Sc.), Computer Science and Biology, Bachelor of Science (B.Sc.), Computer Science and Biology at The University of British Columbia
Chinese, English