Brian Hie
Stanford assistant professor and Arc Institute Innovation Investigator; co-senior author of Evo 2
- Assistant Professor of Chemical Engineering; Principal Investigator, Laboratory of Evolutionary Design, Stanford University12
- Innovation Investigator (since 2024), Arc Institute125
Brian Hie is an Assistant Professor of Chemical Engineering at Stanford University, where Hie leads the Laboratory of Evolutionary Design, and an Innovation Investigator at Arc Institute. Hie is a co-corresponding author of Evo (Science, 2024) and a co-senior and co-corresponding author of Evo 2 (Nature, 2026), genome language models whose Evo 2 weights Arc Institute releases in 20B and 40B sizes.12345
Career
Hie completed a PhD in electrical engineering and computer science at MIT's Computer Science and Artificial Intelligence Laboratory from 2017 to 2021, working on neural language modeling of viral evolution and machine learning for biological discovery. Hie was then a Stanford Science Fellow at the Stanford University School of Medicine (2021–2023) and a visiting researcher at Meta AI FAIR (2022–2023), working on machine learning for protein biology.21
Hie is now an Assistant Professor of Chemical Engineering at Stanford and the Dieter Schwarz Foundation Stanford Data Science Faculty Fellow, and since 2024 an Innovation Investigator at Arc Institute, focused on genomic sequence modeling for biological prediction and design.12
Research
Hie's laboratory works at the intersection of biology and AI. Hie was a co-corresponding author of Evo (Science, 2024), a model for sequence modeling and design from molecular to genome scale, and co-senior author of Evo 2, announced by Arc Institute in February 2025 and published in Nature in 2026, which models and designs genomes across all domains of life.1354
Later papers co-authored by Hie include semantic design of functional de novo genes with a genomic language model (Nature, 2025) and generative design of bacteriophages with a genome language model (Science, 2026).2
Work
Evo 2 40BOpen weights
Co-senior and co-corresponding author of the Evo 2 paper, which describes the genome language model released with 40B-parameter weights.425
Evo 2 20BOpen weights
Co-senior author of Evo 2, whose model family includes the 20B-parameter checkpoint published by Arc Institute.46
Evo (external site: doi.org)Open weights
Co-corresponding author, listed last, of "Sequence modeling and design from molecular to genome scale with Evo" (Science, 2024).3
Career timeline
2017
Began a PhD in electrical engineering and computer science at MIT CSAIL.2
2021
Became a Stanford Science Fellow at the Stanford University School of Medicine.2
2022
Joined Meta AI FAIR as a visiting researcher working on machine learning for protein biology.2
2024
Became an Innovation Investigator at Arc Institute.2
Nov 15, 2024
Published Evo in Science as a co-corresponding author.3
Feb 19, 2025
Served as co-senior author of Evo 2, announced by Arc Institute as a genome model across all domains of life.5
Mar 4, 2026
Published the Evo 2 paper in Nature as co-senior author.4
Other documented roles
Roles the sources document but that are not confirmed as current.
- Visiting Researcher (2022–2023), Meta AI (FAIR)2
Honors and recognition
Related people
More sourced profiles at the same organization, in the same field, or from the same school.
- Andrew NgAlso at Stanford University
- Alex RivesAlso at Meta Fundamental AI Research
- Abigail SeeAlso at Stanford University
- Azalia MirhoseiniAlso at Stanford University
- Ali MadaniAI for science
- Abubakar AbidAlso from Stanford
- Carlos GuestrinAlso at Stanford University
- David WaddenLanguage models
- Albert GuAlso from Stanford
- Chelsea FinnAlso at Stanford University
- Garyk BrixiAlso at Stanford University (EvoDesign Lab) and Arc Institute
- Alexander AminiAlso from MIT
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