I am a postdoctoral fellow at Columbia University in the Department of Statistics, and a visiting researcher at the Institute for Protein Design at the University of Washington. In my research I develop probabilistic machine learning methods to address challenges in biotechnology and medicine. Recently, my focus has been on generative modeling and inference algorithms for protein engineering.
Later this year I will join Stanford University as an Assistant Professor of Statistics, with an affiliation in Stanford Data Science.
I especially welcome contacts from people who aren’t also white men.
PhD in Computational and Systems Biology, 2022
Massachusetts Institute of Technology
MPhil in Engineering, 2017
University of Cambridge
BA in Biochemistry, BA in Computer Science, 2016
Columbia University