Summary
Yuan Liao is a postdoctoral researcher in mobility data science with eight years of experience applying big-data analytics, GIS, and machine learning to understand urban mobility and social segregation. Currently based in Gothenburg, he bridges academic research and policy-relevant insights, having led funded projects at Chalmers, DTU and Lund that leverage large-scale geolocation and social media data to inform sustainable, inclusive city planning. His background in automotive engineering and driver behaviour (Tsinghua) complements his empirical work on accessibility, traffic dynamics, and driver-centred safety, giving him a rare blend of transport engineering and computational skills. Yuan’s research routinely combines continuous data streams (mobile phones, Twitter) with spatial analytics to reveal mobility patterns that traditional surveys miss. He is motivated by translating complex mobility signals into actionable urban policy, and his work on social segregation explicitly connects movement, built environment, and inequality in novel ways.
8 years of coding experience
3 years of employment as a software developer
High school , -, High school , - at The High School Affiliated to Renmin University of China
Master’s Degree, Driver behavior and vehicle active safety, Master’s Degree, Driver behavior and vehicle active safety at Tsinghua University
Doctor of Philosophy - PhD, Energy and Environment, Doctor of Philosophy - PhD, Energy and Environment at Chalmers University of Technology