Nate Bennett

As a graduate student in David Baker’s lab at the Institute for Protein Design, Nate developed deep learning models for the design of protein binders. Specifically, Nate developed a pipeline for the design of protein binders which uses RF Diffusion, ProteinMPNN, and AlphaFold2 to design protein binders and is easier to use, faster, and more accurate than the previous pipeline. Nate plans to wrap up a few projects as a postdoc in the Baker Lab but eventually plans to cofound a startup working on the computational design of drugs.