Summary
Zhuhan Jin is a PhD candidate in Civil Engineering at the National University of Singapore and a Presidential Graduate Scholar who applies economics, deep learning, and data science to understand how social networks and interactions shape mobility and travel behavior. Now a visiting scholar at EPFL’s Transport and Mobility Laboratory and a researcher with the Singapore-ETH Centre, he blends discrete choice modeling and behavioral economics to analyze activity patterns and land-use dynamics. His interdisciplinary training—MPhil in Economics from Oxford and a joint BA/BSc in Economics and Computer Science—enables him to bridge rigorous econometric approaches with scalable computational methods. With nine years of research experience, he brings fieldwork-informed quantitative insight, including spatial analysis and Python-based GIS, to policy-relevant questions in urban mobility. An unexpected facet: his profile combines high-level theory with hands-on data visualization and project-level analysis of international development finance, reflecting both macro and micro perspectives on mobility systems.
9 years of coding experience
1 year of employment as a software developer
Master of Philosophy - MPhil, Economics, Master of Philosophy - MPhil, Economics at University of Oxford
Bachelor of Arts - BA, Economics/Computer Science, Bachelor of Arts - BA, Economics/Computer Science at University of St Andrews
Doctor of Philosophy - PhD, Civil Engineering, Doctor of Philosophy - PhD, Civil Engineering at National University of Singapore
Bachelor of Arts - BA, Economics/ Computer Science, Bachelor of Arts - BA, Economics/ Computer Science at St Andrews William & Mary Joint Degree Programme
Bachelor of Arts - BA, Economics/Computer Science, Bachelor of Arts - BA, Economics/Computer Science at William & Mary