My research develops generative machine learning methods for protein design. Specifically, my focus is on models that learn from evolutionary sequence and structure to generate new, functional proteins. This includes diffusion models over protein sequence and structure, protein language models trained at scale, and the benchmarks and annotation tools that connect these models to real-world design tasks.
Publications