Fabian’s research focuses on the dynamic and complex phenomena that arise from the interactions between individual human minds: Under what conditions do opinions within a population diverge rather than converge to consensus? How can groups improve their collective problem-solving? Will the increasing prevalence of artificial intelligence (AI) lead to qualitative changes in the way humans produce and transmit cultural artifacts? To get at these questions, Fabian combines computational tools from mathematics and computer science with foundational concepts from evolutionary theory and cognitive science. Before coming to Penn as a MindCORE Postdoctoral Fellow, Fabian earned his PhD in theoretical physics at Humboldt University Berlin and conducted interdisciplinary research in computational social science at the Max Planck Institute for Human Development. At Penn, he works to combine mathematical modeling with behavioral experiments to better understand the co-evolution of human collectives and AI in the digital age.
