Summary
Shenhao Wang is an interdisciplinary urban AI researcher and program director with eight years of experience bridging machine learning, network science, and urban planning to inform policy and practice. As Assistant Professor and director of the Urban AI Lab at the University of Florida, he develops integrated glass‑box and black‑box models for travel, residential, and economic choices and applies graph neural networks to design more resilient urban systems. His work on computational justice emphasizes transparency, accountability, and fairness in city-scale machine intelligence and has attracted funding from DOE, SMART, and industry partners. Trained with dual bachelors from Tsinghua and Peking University and a PhD from MIT in Computer and Urban Science, he blends technical depth with real‑world consulting experience in finance and real estate—an atypical mix that helps translate complex models into actionable urban policy.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer and Urban Science, Doctor of Philosophy - PhD, Computer and Urban Science at Massachusetts Institute of Technology
Bachelor's degree, Economics, Bachelor's degree, Economics at Peking University
Bachelor's degree, Law and Architecture, Bachelor's degree, Law and Architecture at Tsinghua University