Summary
Rongxiang Su is a Teaching Assistant Professor in Urban and Regional Planning at UIUC with 11 years of experience at the intersection of geospatial data science, human mobility, and travel behavior. His work blends rigorous academic research and practical modeling—ranging from LightGBM and CatBoost models for event traffic and delivery locality at MIT Senseable City Lab to structural equation and time-geographic methods developed during his PhD at UC Santa Barbara. He has hands-on expertise processing large mobility datasets (INRIX, mobile phone traces, household travel surveys) and has published reusable tools such as the ORTEGA Python package for space-time interaction analysis. Comfortable teaching applied methods in R and Python, he pairs methodological depth with policy-relevant delivery, having supported DOT projects on telecommuting and walk accessibility. Based in Champaign, IL, Rongxiang’s background in cartography and GIS from Wuhan University and Hefei University of Technology gives him a strong spatial foundation that informs both his modeling and pedagogy.
11 years of coding experience
3 years of employment as a software developer
Master's Degree, Cartography and Geographical Information System, Master's Degree, Cartography and Geographical Information System at Wuhan University
Doctorate Degree, Geographic Information Science, Transportation, Doctorate Degree, Geographic Information Science, Transportation at UC Santa Barbara
Bachelor's Degree, Geographical Information System, Bachelor's Degree, Geographical Information System at Hefei University of Technology
English, Chinese