I am a Senior Applied Scientist at Microsoft Research on the BioML team, where I build generative AI models that design new, functional proteins; including EvoDiff, one of the first models to bring discrete diffusion to protein sequence design, followed by the Dayhoff Atlas, which scaled sequence diversity to improve protein generation, and CleaveNet, which applied deep learning to design protease substrates for early cancer detection. I care about understanding the fundamental forces that drive biological systems, and using that understanding to rationally design efficient, bioinspired technologies faster than we ever could before.

Before Microsoft, I completed my Ph.D. in Chemical Engineering at the University of Washington as an NSF GRFP Fellow, where I developed enhanced sampling methods to probe the interfacial phenomena that govern biology at the microscale; from biomolecular self-assembly and protein–surface interactions to biomineralization and enzyme engineering.