I'm a Research Scientist at Google DeepMind, working on the Science team. Previously I completed my PhD at Stanford working on deep learning for protein design, advised by Possu Huang. My thesis research revolved around developing new methods to design proteins de novo, mostly through finding ways to train, condition, and steer deep generative models. These approaches allow us to make more coherent alterations to proteins and sample broadly from protein structure space to solve different engineering problems in biology and chemistry.

I was first introduced to computational and structural biology as an undergraduate when I interned at Caltech in 2016, working with Shyam Saladi and Bil Clemons. As an undergraduate I was also very interested in sustainability and food security. My earliest experiences in science involved uncovering and characterizing genetic factors underlying various plant processes, including sugar and natural product biosynthesis. This was done with Eric Jellen and Jason Kenealey at BYU, Anne Osbourn at JIC, and Wang Bin at Nanjing University.

In my spare time you might find me cooking or eating or exploring in the outdoors.