Xuewen
Yu

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I recently joined London School of Economics and Political Science as a Research Fellow. My research interests include graphical models, Bayesian inference and causal inference. In the last few years, I have been working on causal analysis on Chain Event Graphs, with a particular focus on developing causal algebras on tree graphs. I am also interested in causal inference methods and their applications in public health.

Experience

London School of Economics and Political Science
Research Fellow
Feb 2024 - Present
MRC Biostatistics Unit, University of Cambridge
Research Associate, Course supervisor
Jun 2022 - Present
The Alan Turing Institute
Research Assistant
Jan 2022 - May 2022
University of Warwick
Senior Graduate Teaching Assistant
Oct 2018 - June 2021

Skills

  • Python
  • R
  • SQL
  • C++

Talks

  • Chain Event Graphs workshop, University of Warwick, 2022
  • Open University, 2022
  • Reasoning with asymmetric and context-specific graphs conference, 2021
  • The 7th International Symposium on Reliability Engineering and Risk Management, 2020

Research

Currently I am working on estimating the effects of policy implementation.

Publications

  • Causal inference in continuous-time: a selective review. Under writing.
  • Yu, X., & Smith, J. Q. (2024). Causal chain event graphs for remedial maintenance. Risk Analysis, 1–14.
  • Dent, Chris J., et al. Resource Adequacy and Capacity Procurement: Metrics and Decision Support Analysis. arXiv preprint arXiv:2309.06119 (2023).
  • Yu, X. and Smith, J.Q., 2021. Causal algebras on chain event graphs with informed missingness for system failure. Entropy, 23(10), p.1308.
  • Strong, P., Shenvi, A., Yu, X., Papamichail, K.N., Wynn, H.P. and Smith, J.Q., 2021. Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies. Journal of the Operational Research Society, pp.1-13.
  • Yu, X. and Smith, J.Q., 2021. Hierarchical Causal Analysis of Natural Languages on a Chain Event Graph. arXiv preprint arXiv:2110.01129.
  • Yu, X., Smith, J. Q. and Nichols, L., 2020. Bayesian Learning of Causal Relationships for System Reliability. Proceedings of the International Symposium on Reliability Engineering and Risk Management (ISRERM 2020).