Evolutionary Dynamics and Scientific Machine Learning (EvoDyn & SciML) Lab

The EvoDyn & SciML Lab is dedicated to modeling and adapting both biological and social systems. We utilize methodologies such as evolutionary games, mathematical epidemiology, mechanistic modeling, and dynamical systems to create accurate models that unveil complex behaviors. In addition, Scientific machine learning serves as a connection between data-driven insights and mechanistic comprehension, enabling us to make precise forecasts while uncovering foundational principles. By fostering interdisciplinary collaboration, we aim to provide innovative solutions to urgent scientific and societal challenges, thereby enhancing knowledge at the crossroads of dynamic systems and machine learning. This holistic approach improves our capability to address real-world issues and enrich our understanding of intricate systems. Join us in uncovering the enigmas of adaptive systems!