About Me

I am a PhD student in Computational Biology at University of California, Berkeley, advised by Jennifer Listgarten and a member of the Berkeley Artificial Intelligence Research Lab (BAIR). My research focuses on developing machine learning methods for protein design and drug discovery, with a particular emphasis on combining biophysics-based knowledge with modern deep learning approaches.

Background

Prior to Berkeley, I worked at D. E. Shaw Research where I conducted drug discovery research using long-timescale molecular dynamics simulations and machine learning.

I obtained my B.S. in Mathematics from Duke University, where I worked with Bruce Donald on improved algorithms for computational structure-based protein design.

Recent Work

My recent work includes:

• Developing methods for guidance in discrete state-space diffusion models in molecular design
• Creating approaches for coherent blending of biophysics-based knowledge with Bayesian neural networks
• Contributing to projects on RNA language models and protein fitness prediction

You can find my CV here.