Summary
Ningchuan Xiao is a professor of Geographic Information Science at The Ohio State University with over two decades of academic and research experience focused on spatial optimization, cartography, census analytics, and the intersection of machine learning with spatial data. He develops computational methods for problems such as spatial partitioning, political redistricting, privacy-preserving use of census data, and ethical visualization of complex spatiotemporal datasets. His work uniquely explores how machines “read” maps, blending cartographic theory with AI to improve automated map interpretation and communication to the public. Based in Columbus, Ohio, he combines deep domain expertise from a PhD in Geographic Information Science and Cartography with practical algorithmic contributions in optimization and visualization.
10 years of coding experience
13 years of employment as a software developer
Master of Science - MS, Geographic Information Science and Cartography, Master of Science - MS, Geographic Information Science and Cartography at Southern Illinois University, Carbondale
Master of Science - MS, Geography, Master of Science - MS, Geography at Peking University
Bachelor of Science - BS, Geography, Bachelor of Science - BS, Geography at Hunan Normal University
Doctor of Philosophy - PhD, Geographic Information Science and Cartography, Doctor of Philosophy - PhD, Geographic Information Science and Cartography at University of Iowa