Computational protein design researcher who left the University of North Carolina at Chapel Hill for the University of British Columbia, Canada

Brian Kuhlman

Computational Protein Design

RESEARCH FIELD

Computational Protein Design

Artificial Intelligence

Vaccine Design

Enzyme Engineering

Biosensors

Cancer Therapeutics

Education

Rice University

B.S.

Chemical Physics (BA)

,

1992

Stony Brook University

Ph.D

Chemistry

,

1998

University of Washington

Postdoc

Damon Runyon Postdoctoral Fellowship

,

1999

-

2002

Summary

Brian Kuhlman is a computational protein design researcher who left the University of North Carolina at Chapel Hill, where he was a professor of biochemistry and biophysics, to join the University of British Columbia's Faculty of Medicine in Vancouver, Canada, as an Eddie Goldenberg Research Chair of Canada.

The appointment was announced August 27, 2026 as part of UBC's first cohort of nine Eddie Goldenberg Research Chairs drawn from US and international universities, with Kuhlman's move set to begin in spring 2027.

Kuhlman earned his PhD in chemistry from Stony Brook University in 1998, studying under Daniel Raleigh, then completed a Damon Runyon Postdoctoral Fellowship at the University of Washington from 1999 to 2002 under David Baker, the biochemist who would go on to win the 2024 Nobel Prize in Chemistry for his own work in computational protein design.

Kuhlman is a leading authority on using computer modeling and AI to design proteins with new sequences, structures, and functions, work that has helped turn protein design from a largely theoretical pursuit into an established scientific discipline. At UBC, his lab will apply these tools to real-world therapeutics, including a next-generation dengue vaccine, cancer drugs that activate only within a tumor's acidic microenvironment, and biosensors for monitoring hormones like insulin, while also developing new AI methods for designing enzymes and proteins that change shape in response to their environment.

Kuhlman has said his interest in the field traces back to a fascination with the intricate shapes proteins take on to interact with other molecules in the body, comparing the work to building with Legos, but aimed at molecules that can benefit human health. He was drawn to UBC by its concentration of expertise across computer science, physics, chemistry, and biology, and its track record of fostering collaboration across those fields, calling protein design an inherently collaborative discipline. All of the computational tools developed through his UBC program are planned to be released open-source for researchers worldwide.

CURRENT AFFILIATION

University of British Columbia, Vancouver, Canada

Recruitment Program

Canada Global Impact+Research Talent Initiative