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I've spent my career at the intersection of computation and biology—a technologist at heart, driven by bringing new medicines to patients. That pursuit has taken me from a PhD in functional genomics and AI at Stanford, to building RNA datasets and foundation models from inception at Atomic AI, to co-founding Endura Therapeutics to unlock new cures by drugging RNA.
My background is varied but united by an impulse to seek out the hardest problems and reinvent myself as necessary to solve them. That's what previously drew me to theoretical math in undergrad and a stint as a professional flutist.
These days I think a lot about biotech leadership, especially the challenge of embodying the opposing mindsets of rigorous scientist and visionary storyteller.
Currently
Co-founder and CEO of Endura Therapeutics.
At Atomic AI
Joined at inception, where I helped raise $42M from VCs and established early company processes and culture. Drove discovery and validation of novel RNA targets and massively scaled data collection methods on RNA structure and function to train AI models. Developed the first drug discovery roadmap, selected the first targets and programs, and led the CSO search.
Research
Trained as a full-stack wet and dry lab scientist and led multiple projects involving developing NGS assays, collecting massive datasets, and extracting insights via computational modeling. My most-cited paper was covered in Time Magazine and The Atlantic and proposed that the two-meter genome folds inside the cell nucleus through loop extrusion. This prompted single-molecule experiments (1, 2) that showed that Cohesin was the molecular motor driving loop extrusion—a new function that had eluded 20 years of Cohesin research.
PhD in Computer Science, Stanford University. Based in the lab of Roger Kornberg (Nobel Laureate) in Structural Biology.
MM in Flute Performance, New England Conservatory
BA in Math, Harvard University
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