About

I am a Postdoctoral Research Fellow at the National University of Singapore (NUS), working on data-driven transport systems with a focus on congestion prediction, simulation, and interpretable machine learning.

I completed my Doctor of Sciences (Dr. sc.) at ETH Zurich (thesis defended on 27 March 2025; degree granted on 30 May 2025) at the Institute for Cartography and Geoinformation. My dissertation is titled Data-driven Congestion Prediction - Challenges, Solutions, and its Impact on Connected Infrastructures.

My research interests:

• Spatio-temporal forecasting and interpretable ML for congestion
• Complexity-aware deep learning for city-scale prediction pipelines
• Cross-domain simulation coupling (transport, infrastructure, resilience)
• Uncertainty-aware modelling for policy-relevant analytics