Patrick Hsu
2026 National Award Finalist — Faculty

Current Position:
Co-Founder (Arc Institute), Assistant Professor (Stanford)
Institution:
Arc Institute & Stanford University
Discipline:
Biomedical Engineering & Biotechnology
Recognized for: Pioneering programmable molecular technologies that redefine genome and engineering and modeling, accelerating biological design.
Areas of Research Interest and Expertise:
Bioengineering, Machine Learning, Genome Editing
Previous Positions:
Assistant Professor, University of California, Berkeley
Salk Fellow, Salk Institute
PhD, Harvard University, USA (Advisor: Feng Zhang & Xiaowei Zhuang)
AM, Harvard University, USA
BA, University of California, Berkeley, USA
Research Summary:
Biology relies on molecular machines that read, write, and regulate genetic information, yet scientists are only beginning to understand how to harness their full potential. Patrick Hsu, PhD, discovers and engineers these programmable biological systems to precisely manipulate DNA and RNA. His work has expanded the CRISPR toolkit with RNA-targeting enzymes, uncovered programmable bridge RNAs that enable large-scale genome rewriting, and pioneered artificial intelligence models that predict and design biological sequences. Together, these innovations are transforming genome engineering, accelerating biological discovery, and advancing safer gene therapies while laying the foundation for a new era of AI-enabled biological design.
“Nature has evolved complex molecular functions over billions of years. My lab is inventing new capabilities for biological design and genetic medicine by developing AI models to understand these instructions and genome editing tools to rewrite them.”
Key Publications:
- K. Zhu, G. Zynda, D. Balsam, P. Collison, A.B. Costa, T. Hernandez-Boussard, E. Ho, M.Y. Liu, T. McGrath, K. Powell, S. Pinglay, D.P. Burke, H. Goodarzi, P.D. Hsu. Genome modelling and design across all domains of life with Evo 2. Nature, 2026.
- N.T. Perry, L.J. Bartie, D. Katrekar, G.A. Gonzalez, M.G. Durrant, J.J. Pai, A. Fanton, J.Q. Martins, M. Hiraizumi, C. Ricci-Tam, H. Nishimasu, S. Konermann, P.D. Hsu. Megabase-scale human genome rearrangement with programmable bridge recombinases. Science, 2026.
- E. Nguyen, M. Poli, M.G. Durrant, B. Kang, D. Katrekar, D.B. Li, L.J. Bartie, A.W. Thomas, S.H. King, G. Brixi, J. Sullivan, M.Y. Ng, A. Lewis, A. Lou, S. Ermon, S.A. Baccus, T. Hernandez-Boussard, C. Ré, P.D. Hsu, B.L. Hie. Sequence modeling and design from molecular to genome scale with Evo. Science, 2024.
- M.G. Durrant, N.T. Perry, J.J. Pai, A.R. Jangid, J.S. Athukoralage, M. Hiraizumi, J.P. McSpedon, A. Pawluk, H. Nishimasu, S. Konermann, P.D. Hsu. Bridge RNAs direct programmable recombination of target and donor DNA. Nature, 2024.
Other Honors:
2024 The Most Important Breakthroughs of 2024, The Atlantic
2024 Top 5 Medical Breakthroughs of the Year, Forbes
2024 Good Tech Award, New York Times
2024 Future Perfect 50, Vox
2021 Amgen Young Investigator Award, Amgen
2020 Rainwater Prize for Innovative Early-Career Scientists, Rainwater Foundation
2020 Deb Faculty Fellow and Rose Hills Innovator, University of California, Berkeley
2019 Innovators Under 35, MIT Technology Review
2015 NIH Director's Early Independence Award, National Institutes of Health
2015 30 Under 30 in Science, Forbes
In the Media:
Website