Resume
Academic Achievements
- Published paper 'Protein Language Models Capture Structural and Functional Epistasis in a Zero-Shot Setting'; awarded a 2-year grant from NSF-Simons NITMB (2025-2027) for mathematical modeling of microbial communities.
Research Experience
- Involved in the ARPA-H funded MIGHTY project, focusing on using machine learning to predict phage-bacteria interactions; participated in research concerning protein language models and evolutionary chemical learning.
Background
- Research interests include microbial interactions, protein language models, and evolutionary chemical learning. Specializes in biology and mathematical modeling.
Miscellany
- Lab members include Ananthan Nambiar, Sayantani B. Littlefield, Carlos Cuellar, Rohit Khorana, etc.; experimental collaborator is Seppe Kuehn from U Chicago.