Assistant Professor at University of California, Riverside
Riverside, California, United States
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Summary
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Wei Kang is an Assistant Professor of Public Policy at UC Riverside with 11 years of research and teaching experience at the intersection of spatial statistics, econometrics, and urban studies. Her work spans methodological development and empirical applications in housing, neighborhood change, inequality, and growth, translating advanced spatial methods into policy-relevant insights. She is a core developer of PySAL, the widely used open-source Python spatial analysis library, and has improved its spatial dynamics modules and documentation to align with NumPy standards. Wei’s academic trajectory includes a Ph.D. from Arizona State and roles from postdoctoral scholar to research scientist and faculty, reflecting sustained collaboration across institutions. Based in Riverside, she combines rigorous quantitative methods with applied urban research, and she is notable for bridging reproducible open-source tooling with substantive policy questions.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.), Geographic Information Science and Cartography, Bachelor of Science (B.Sc.), Geographic Information Science and Cartography at Wuhan University
Doctor of Philosophy (Ph.D.), Geographic Information Science and Cartography, Doctor of Philosophy (Ph.D.), Geographic Information Science and Cartography at Arizona State University
Master of Science (M.Sc.), Geographic Information Science and Cartography, Master of Science (M.Sc.), Geographic Information Science and Cartography at Peking University
Contributions:43 commits, 24 PRs, 3 pushes in 5 years 4 months
Contributions summary:Wei primarily contributed to the `spatial_dynamics` module of the PySAL library by inlining with the NumPy doc specification. This involved modifications to the Markov-based methods, including the `Markov`, `Spatial_Markov`, and `LISA_Markov` classes. Their work focused on improving the documentation and ensuring adherence to the NumPy documentation standards, demonstrating a focus on clarity and usability within the spatial analysis domain.
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Wei Kang - Assistant Professor at University of California, Riverside