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Manuele Leonelli

Manuele Leonelli is an Assistant Professor in the School of Science and Technology at IE University. He obtained a PhD in Statistics from the University of Warwick in 2015 under the supervision of Jim Q. Smith. He then won a CAPES post-doctoral fellowship working at the Federal University of Rio de Janeiro, Brazil, under the direction of Dani Gamerman. Before joining IE University, he was a Lecturer in Statistics in the School of Mathematics and Statistics at the University of Glasgow. Manuele’s research focuses on probabilistic graphical models for decision-making under uncertainty and inference over extreme values, with a focus on approximated inferential algorithms within the Bayesian paradigm. His PhD thesis “Bayesian decision support in complex systems: an algebraic and graphical approach,” won the John Copas Prize for the best PhD Thesis in Statistics at the University of Warwick in 2015. Manuele has been recently appointed as editor of Bernoulli News.

ACADEMIC EXPERIENCE

• Assistant Professor, School of Science and Technology at IE University, Spain, 2019

• Lecturer in Statistics, University of Glasgow, UK, 2017 – 2019

• Visiting Professor, McGill University, Canada, 2019

• PostDoctoral Fellow, Federal University of Rio de Janeiro, 2016

ACADEMIC BACKGROUND

• PhD in Statistics, University of Warwick, UK, 2015

• MSc in Statistics, University of Warwick, UK, 2011

• BSc in Mathematics, Statistics and Data Management, University of Genoa, Italy, 2010

SELECTED PUBLICATIONS

• Leonelli, M., & Riccomagno, E. (2022). A geometric characterization of sensitivity analysis in monomial models. International Journal of Approximate Reasoning, 151, 64-84.

• Ballester-Ripoll, R., & Leonelli, M. (2022). Computing Sobol indices in probabilistic graphical models. Reliability Engineering & System Safety, 108573.

• Görgen, C., Leonelli, M., & Marigliano, O. (2022). The curved exponential family of a staged tree. Electronic Journal of Statistics, 16(1), 2607-2620.

• Carli, F., Leonelli, M., Riccomagno, E., & Varando, G. (2022). The R Package stagedtrees for Structural Learning of Stratified Staged Trees. Journal of Statistical Software, 102(1), 1–30.

• Lattanzi, C., & Leonelli, M. (2021). A change-point approach for the identification of financial extreme regimes. Brazilian Journal of Probability and Statistics, 35(4), 811-837.

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