Prof. Gao’s research interests lie in the burgeoning interdisciplinary fields of Computational Social Science and the Science of Science and Innovation. He uses massive, large-scale datasets and develops computational approaches to study complex social and economic systems. His recent work explores AI for science and the interaction between science and society, covering social dynamics, public policy, innovation, education, and more.
Prof. Gao was trained in the departments of applied mathematics, computer science, physics, media arts & sciences, and management, where he developed a growing interest in conducting interdisciplinary research. He was an exchange student at MIT and a visiting scholar at Boston University. Before HKU, he was a research assistant professor at Kellogg School of Management at Northwestern University and a researcher at the Northwestern Institute on Complex Systems (NICO).
Prof. Gao’s interdisciplinary experiences fueled his vision to translate research findings into meaningful social impact. His work has been published in leading journals such as Science, Physics Reports, Nature Human Behaviour, Nature Communications, Journal of The Royal Society Interface, and Regional Studies, and covered by global media outlets such as Nature (News), Science (Careers), Scientific American, and Forbes.