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)"
See all news →