Feng Fu is currently an associate professor of applied mathematics in the Department of Mathematics and holds an adjunct appointment in the Department of Biomedical Data Science at the Geisel School of Medicine, Dartmouth. Before joining Dartmouth in September 2015, he was a senior postdoc in theoretical biology under Sebastian Bonhoeffer at ETH Zurich starting in September 2012. Prior to that, he did his dissertation research and a subsequent postdoc training at Harvard University from 2007 to 2012. He is interested in evolutionary game theory with applications to real-world problems, including reinforcement learning dynamics, neuroscience, and behavioral epidemiology. He received his B.Sc. in Theoretical and Applied Mechanics from Fudan University in 2004 and his Ph.D. in Dynamics and Control from Peking University in 2010. He was the recipient of Dartmouth's Dean of the Faculty Award for Outstanding Mentoring and Advising in 2021.
427 Thackeray Hall
Abstract or Additional Information
Human behavior impacts the world around us. From disease control to climate change, understanding human behavior through the lens of evolutionary dynamics provides useful insights and implications for making the world a better place. This multi-disciplinary, data-driven modeling approach combines various introspective processes with interpersonal interactions by accounting for interdependent biological and social network processes across different yet interconnected network layers. In this talk, we will present recent work on modeling complex, multi-faceted human behavior across diverse domains in critical issues of societal importance, ranging from socio-cognitive biases to pandemic compliance. The talk will also discuss the importance of bottom-up behavior and attitude changes, as well as large-scale human cooperation, in addressing urgent challenges facing our common humanity.