معرفی
Nan Zhang is a Research Fellow at Imperial College London's Transport Strategy Centre (TSC) within the Centre for Transport Studies. She holds affiliations with the Centre for Transport Engineering and Modelling and the Transport Strategy Centre. Her research focuses on causal inference methods, machine learning, and data-centric engineering applied to transport systems.
Education: PhD (2022) in causal inference and metro disruption analytics from Imperial College London (supervised by Prof. Daniel J. Graham); First-class MSc in Transport (Imperial); BEng in Traffic Engineering (Southeast University).
Research emphasizes quantifying impacts of transport interventions through advanced analytical frameworks. Her work bridges theoretical causal methodologies with practical transport system optimization challenges.
Labs/Teams: Active contributor to the Transport Strategy Centre's interdisciplinary transport research initiatives.