Armita Nourmohammad

Dr. Nourmohammad's lab studies how biological systems learn, adapt, and evolve functional molecular programs, with a special focus on the immune system. Using interdisciplinary approaches that integrate machine learning, information theory, statistical physics, and control theory, her lab seeks to understand and predict adaptive immune responses to guide the rational design of next-generation immune engineering strategies.

Current projects include developing physics-inspired machine learning models to map the immune recognition shape space, and to uncover the dynamic landscape of immune decision-making in health and disease.