Research Areas
Biological Physics, Statistical Physics, Immunology, Protein Science, Machine Learning
Research Type
Theorist
Research Website
Current Projects
How do biological systems learn and adapt to their environments, and over longer time scales, how do they evolve functional molecular programs and machinery? Our research bridges physics, mathematics, and computer science to uncover the principles underlying biological function, with a special focus on the immune system. By moving beyond description toward predictive understanding, we aim to develop frameworks that guide the rational design of control strategies for next-generation immune engineering.
Biographical Sketch
Associate Director of Theoretical Sciences at Yale Center for Systems and Engineering Immunology (CSEI)
Associate Professor of Immunobiology, Biomedical Engineering, and Physics
CSEI, 100 College, 1156
Education
Postdoc (Biological Physics), Princeton University
PhD (Theoretical Physics), University of Cologne
BSc (Physics), Sharif University of Technology