Armita Nourmohammad
Physics of Adaptation, Learning, and Evolution in Biology: learning and adaptation in biological systems, mapping the immune shape space with physics-inspired machine learning, design principles of the immune system, and uncovering and steering the dynamic landscape of immune decision making
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
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.