I am a Ph.D.-trained applied economist and data scientist at the University of Connecticut, working at the intersection of energy, environmental economics, behavioral economics, and risk analytics. My work uses causal inference, predictive modeling, spatial analysis, and large-scale data to understand how people and markets respond to risk, information, and policy change.
My projects have examined how local safety risks affect Airbnb pricing in New York City, why electric vehicle adoption succeeds in some markets but stalls in others, and how information campaigns and peer behavior influence household environmental decisions. Across these projects, my goal is to turn messy real-world data into evidence that supports better business, policy, and strategy decisions.
Contact: leo.zhengxuanwu@gmail.com