Joint Maud Menten /Math Bio Seminar: Roderick Melnick

Life is a nonequilibrium phenomenon where nonlocal processes play a prominent and increasingly important role. Nonlocal models have emerged as a robust mathematical framework for capturing interactions across spatial and temporal scales in the life sciences. In this talk, we explore their applications across three key domains of the life sciences: (i) biosocial dynamics, where nonlocal interactions can assist in better describing cooperative behaviours, social contagion, disease propagation, and decision-making in populations; (ii) ecological models, where long-range interactions influence species competition and environmental heterogeneity; and (iii) neurodegenerative disorders, where nonlocality plays a crucial role in modelling protein misfolding, toxic protein spread, and neuronal connectivity disruption in diseases such as Alzheimer’s and Parkinson’s. By integrating novel perspectives, we highlight the unifying role of nonlocality in describing emergent behaviours across biological scales and address the mathematical challenges in modelling complex systems. Our findings suggest that nonlocality is essential for understanding the relationship between structure and function in living systems, with significant implications for disease progression, brain studies, population dynamics, and ecosystem stability.