
About
Yu Luo is a Lecturer in Statistics at the Department of Mathematics, King’s College London, affiliated with the Faculty of Natural, Mathematical & Engineering Sciences. He holds a PhD in Biostatistics from McGill University (Canada) and previously worked at Imperial College London and Lancaster University. His research focuses on Bayesian methodologies, hidden Markov models, causal inference, and applications in healthcare and transportation. Key projects include developing longitudinal Bayesian frameworks for causal analysis and evaluating policy impacts through statistical models.
Education:
- PhD in Biostatistics, McGill University, Canada
Research Interests:
- Hidden Markov models and Bayesian computation
- Causal inference methodologies
- Medical and transportation engineering applications
Grants & Projects:
- EPSRC-funded project: Bayesian causal estimation via model misspecification (2024-2025)
Recent Publications: Focus on Bayesian statistical methods applied to health systems, policy evaluation, and environmental interventions. Notable topics include causal dose-response modeling, stop-and-search policy analysis, and global climate change interventions.
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