I have spent my whole career doing AI research with applications to the biomedical sciences both at startups and in academia. In my PhD advised by Nobel Laureate David Baker, I initiated efforts to develop AI algorithms to model and design biomolecular interactions resulting in nine publications including a first author Science paper and a co-corresponding author Nature Methods paper.

My ultimate goal is to unlock precision N of 1 medicines for any patient in the world.

My current research interests are:

1. How do we tokenize and create shared representations for several modalities of biological data in a single model? We have no way to ask more complex questions about biology that would require reasoning over multiple data modalities.

2. How do we create models of biological systems that will enable us to predict specific outcomes for specific patients? This has two parts, we need inputs to the model that uniquely identify the biological state of a patient and then we need to know how to predict the response to a specific treatment.

Previously, I was a software engineer at Denali therapeutics and received my BS/BA in Chemical Biology and Computer Science from UC Berkeley.

Updates

Dec 2025
RFdiffusion3 code is open-source! Here's an article from Genetic Engineering and Biotechnology News covering the release.
Dec 2025
RFdiffusion2 paper published in Nature Methods and companion application paper published in Nature. Geekwire and Chemistry World covered the release.
Nov 2025
RF3 launched on Microsoft Foundry at the Microsoft Ignite Conference.
Sep 2025
RFdiffusion3 preprint released. A new frontier model that is on par of exceeds state-of-the-art on all biomolecular interaction design tasks in a single foundation model.
Aug 2025
RF3 code and preprint online. The most performant open-source biomolecular modeling software. Also, releasing our internal data processing package, AtomWorks.
Jun 2025
Defended my thesis!
Apr 2025
Gave a talk at the University of Cambridge about our latest work on protein design of molecular interactions.
Dec 2024
Joined my PhD advisor in Stockholm to celebrate his Nobel Prize.
Dec 2024
RF All-Atom recognized as one of the biggest breakthroughs in biology and neuroscience in 2024 by Quanta Magazine.
May 2024
Spoke at the White House about our work in protein design as a part of the kickoff for the National AI Research Resource. Click here to see a photo of me in the White House.
Apr 2024
RF All-Atom cited in a Report to President Joe Biden on Supercharging Research using AI for Global Challenges.
Mar 2024
RF All-Atom paper published on the cover of Science and code released. Endpoints News covered the release and Nature Biotechnology wrote a research highlight.
Oct 2023
RF All-Atom preprint released. TechCrunch covers it in their This Week in AI article.

Selected Manuscripts

Blog

Videos

Quanta Magazine coverage of RF All-Atom

Molecular ML reading group

Valence Labs