I am Yuanyuan Wu, a Postdoctoral Researcher at KTH Royal Institute of Technology, where I study human mobility behavior using causal reinforcement learning. Prior to joining KTH, I worked at Joint NTU-WeBank Research Centre on Fintech with AI Singapore Programme, where I focused on AI Ethics and was responsible for data collection, mining, and learning. I hold a Ph.D. in Transportation Engineering from Nanyang Technological University, Singapore, and a B.Sc. and M.Sc. from the School of Transportation at Southeast University, China.

I am enthusiastic about utilizing machine learning and data mining techniques to enhance intelligent transport systems. I have conducted both theoretical and applied research in the areas of connected and automated vehicles, traffic control, traffic flow modeling, big data analytics, and agent-based modeling. Currently, I am working on a project that involves using trajectory data to analyze human mobility behavior through causal artificial intelligence.

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