I'm a scientist with a background in optimization, AI, and structural biology. I build measurement technologies and machine learning algorithms to understand and engineer biological systems.

At Atomic AI, I designed and trained ATOM-1, an RNA foundation model based on in-house chemical mapping datasets. Previously, as CTO of XGenomes, I developed algorithms and technologies for high-throughput DNA sequencing using localization microscopy.

During my PhD at Berkeley (with Ben Recht and Michael Jordan) and brief postdoc at the Broad Institute (with Aviv Regev) I built optimization algorithms for inverse problems, including the best performing algorithms for high-density super-resolution microscopy.