I am an Associate Professor of Statistics in the School of Science and Technology at IE University. My research develops interpretable statistical and machine learning models, mostly from a Bayesian perspective, and studies their mathematical properties. My main areas of research are:

  • Probabilistic graphical models
  • Sensitivity analysis
  • Extreme value theory
  • Causal inference and causal discovery
  • Interpretable AI and its role in society
  • Applications in finance, energy markets, the environment, sport and tourism
In particular, I have been focusing on a class of models called staged trees. Together with Gherardo Varando I developed the stagedtrees R package, available on CRAN, and we have written the book Staged Tree Models: With Applications in R, forthcoming with CRC Press.

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Recent News

[03/11/26] The article "The real effect of Federer's sneak attack return" has now been published in International Journal of Sports Science & Coaching.
[30/10/26] New preprint "Measuring the inaccesible: Can AI evaluate accessibility in heritage tourism?" now available!
[26/10/26] New preprint "Self-thresholding angular-radial models of extremal dependence" now available!
[03/10/26] The article "Tail Dependence in EU Carbon Markets: Graphical Models of Extremes for EUA Futures" has now been published in Computational Economics.
[29/09/26] I received the Knowledge in the Age of AI Award from IE University.
[22/09/26] New preprint "Relegation, promotion and the components of scoring in water polo" now available!
[09/09/26] I attended and organized "The International Conference on Probabilistic Graphical Models (PGM)"

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Manuele Leonelli


manuele.leonelli@ie.edu

Associate Professor of Statistics
School of Science and Technology
IE University, Madrid, Spain

       
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