Fucheng was trained in human geography with quantitative methods at University College London, where his undergraduate dissertation developed an original agent-based model of gentrification and displacement in London. His research interests focus on advanced quantitative modelling of social phenomena.
Fucheng has worked on projects examining supermarket shoplifting, international shipping, and the impact of power on morality in language, using agent-based modelling, natural language processing, and causal inference. In these projects, he collaborated with researchers from UCL Crime Science, the University of Tokyo, and the Cambridge Judge Business School. He has also earned the MITx MicroMasters in Statistics and Data Science and studied as an exchange student at the National University of Singapore. He is currently pursuing an MSc in Social Data Science at the Oxford Internet Institute.
Agent-Based Models, Causal Inference, Machine Learning, Social Networks, Urban Change, Mobility, Crime