About
Jun Fang is a PhD candidate at the University of Michigan, where he is pursuing a joint degree in Political Science and Scientific Computing.
His dissertation examines how AI-powered recommendation algorithms interact with different societal structures—political polarization in the U.S. and nationalism in China—to transform how businesses compete and how consumers behave in algorithm-mediated markets.
Dissertation Co-Chairs: Iain Osgood (Political Science) and Jordan Siegel (Strategy)
