Laboratory of Evolutionary Design

Aligning biological AI with human good

Research Focus

Learning from nature

Learning from nature

Human immunity is much more resilient than our antibody drugs. Learning how the immune system balances short-term protection and long-term adaptability is critical to designing robust therapeutics.

Accelerating evolution

Accelerating evolution

Evolution is a powerful force, as well as a powerful adversary. By learning evolutionary rules from data, machine learning provides a way to harness this force for our benefit.

Safe biological AI

Safe biological AI

Current drug design is already outcompeted by natural evolution. Generative models must enable researchers to rapidly deploy countermeasures against harmful biology.

Publications

Sequence modeling from molecular to genome scale with Evo

Sequence modeling from molecular to genome scale with Evo

Eric Nguyen, Michael Poli, Matthew G. Durrant, Armin W. Thomas, Brian Kang, Jeremy Sullivan, Madelena Y. Ng, Ashley Lewis, Aman Patel, Aaron Lou, Stefano Ermon, Stephen A. Baccus, Tina Hernandez-Boussard, Christopher Ré, Patrick D. Hsu, Brian L. Hie

BioRxivMarch 2024

All Publications

Team

Brian Hie
Innovation Investigator

Brian Hie

Brian Hie is an Assistant Professor of Chemical Engineering at Stanford University, the Dieter Schwarz Foundation Stanford Data Science Faculty Fellow, and an Innovation Investigator at Arc Institute. He leads the Laboratory of Evolutionary Design, which conducts research at the intersection of machine learning and biology. Previously, Brian was a Stanford Science Fellow in Biochemistry, a researcher at Meta AI, received his Ph.D. in Electrical Engineering and Computer Science from MIT, and his B.S. in Computer Science from Stanford.

Current Members

Brandon Ameglio
PhD student

Brandon Ameglio

Stanford Biophysics, Co-advised by Anne Brunet

Yasa Baig
PhD rotation student

Yasa Baig

Stanford Bioengineering

Garyk Brixi
PhD student

Garyk Brixi

Stanford Genetics

Ashir Borah
PhD student

Ashir Borah

UCSF Biomedical and Medical Informatics, Co-advised by Luke Gilbert

Brian Kang
PhD student

Brian Kang

Stanford Bioengineering

Samuel King
PhD student

Samuel King

Stanford Bioengineering

David Li
PhD student

David Li

Stanford Bioengineering, Co-advised by Michael Fischbach and Karl Deisseroth

Aditi Merchant
PhD student

Aditi Merchant

Stanford Bioengineering

Eric Nguyen
PhD student

Eric Nguyen

Stanford Bioengineering, Co-advised by Stephen Baccus and Christopher Ré

Pilita Parker
Administrative associate

Pilita Parker

Stanford Chemical Engineering

Talal Widatalla
PhD student

Talal Widatalla

Stanford Biophysics

Contact Us

Please consider joining our mission to develop safe and effective biological AI. We will also have a lot of fun along the way. If interested, you can directly join our Stanford lab or collaborate with us through a position at Arc Institute.

Address

Arc Institute
3181 Porter Dr
Palo Alto, CA 94304
info@arcinstitute.org
Arc Institute Location