Brian Hie
Brian Hie is a researcher who applies machine learning to the design and modeling of proteins and genomes. He earned a computer science degree at Stanford and graduate degrees at MIT, then used language models to study viral and protein evolution. His work includes protein inverse folding and the genome models Evo and Evo 2. As of October 2026, he is a Stanford chemical engineering assistant professor, an Arc Institute Innovation Investigator, and supervisor of the Laboratory of Evolutionary Design.
- Now at
- Stanford University and ARC Institute
- Badges
Timeline
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2016–2021
Stanford and MIT degrees
He earns a computer science bachelor's degree at Stanford in 2016, an EECS master's at MIT in 2019, and an EECS PhD at MIT in 2021.
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By 2021
A science fellowship and software roles
He is in Stanford Science Fellows' 2021 cohort and has worked as a software engineer for Google X, Salesforce, and Illumina.
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2021
Language models for viral escape
He coauthors a Science paper that uses machine learning methods developed for natural language to model viral escape.
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By 2022
Protein evolution at Meta AI
As a Stanford Science Fellow and visiting researcher at Meta AI, he applies natural-language machine learning and protein language models to study protein evolution.
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2022
Inverse folding with 12 million structures
He coauthors a paper that predicts protein sequences from backbone atom coordinates. The team augments training with structures predicted for 12 million protein sequences using AlphaFold2.
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2024
Evo for genome-scale modeling
Arc Institute, Stanford, and TogetherAI researchers introduce Evo, a long-context model for prediction and generative design across DNA, RNA, and proteins; Hie is among its contributors.
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2025
Co-authoring Evo 2
In 2025, he is an Innovation Investigator in Residence at Arc Institute and an assistant professor of chemical engineering at Stanford. He is a co-senior author of Evo 2, a genomic model trained across all domains of life.
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As of October 2026
Leading the Evolutionary Design Lab
He is an assistant professor of chemical engineering at Stanford, a Stanford Data Science faculty fellow, and an Innovation Investigator at Arc Institute. He supervises the Laboratory of Evolutionary Design, which studies biology and machine learning.
Career
- Since 2025Stanford UniversityAssistant Professor of Chemical Engineering
- Since 2025ARC InstituteInnovation Investigator in Residence
- GoogleSoftware Engineer
- SalesforceSoftware Engineer
- IlluminaSoftware Engineer
- MetaVisiting Researcher
Education
- 2021Massachusetts Institute of TechnologyEECS PhD
- 2019Massachusetts Institute of TechnologyEECS master's degree
- 2016Stanford UniversityBachelor's degree in computer science
Sources and credits
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- Brian Hie | Chemical Engineering
- Brian Hie | Science Fellows
- Brian Hie's Profile | Stanford Profiles
- Brian Hie | STAT
- Learning inverse folding from millions of predicted structures
- Evo: DNA foundation modeling from molecular to genome scale | Arc Institute
- Meet Arc Innovation Investigator in Residence, Brian Hie, who is building deep learning models to design biology across scales | Arc Institute
- AI can now model and design the genetic code for all domains of life with Evo 2 | Arc Institute


