At Dartmouth, my group's research has been driven by five thrusts:
(1) Evolutionary Game Theory with Applications: Population Structure and Evolution of Cooperation;
(2) Computational Social Science: Evolutionary Dynamics of Human Behavior;
(3) Biomedical Data Science: Dynamics of Cancer Evolution and Treatment;
(4) Public Health Data Science: Behavioral Epidemiology and Network-based Interventions;
(5) Computational Neuroscience: E/I Imbalance Hypothesis and Neural Synchronization.
This interdisciplinary field of our research has a significant data science component, and integrates applied mathematics, social science, and computer science, evolutionary biology, and statistical physics. Our research aims to facilitate and promote interdisciplinary research that has a foundation on mathematics and also to synergistically connect evolutionary game theory with data science through data-driven mathematical modeling with real-world applications that have broad and significant impact on our society.