• We are hiring! 2 PhD + 1 Post-doc positions

    I am a Lecturer (Chargé de cours) at UC Louvain working at the Institute of Statistics, Biostatistics and Actuarial Sciences within LIDAM at the Faculty of Science.

    Prior to moving at UC Louvain, I held a Visiting professor position at Ghent University affiliated with the Department of Applied Mathematics, Computer Science and Statistics within the Faculty of Sciences and a Postdoctoral position at KU Leuven affiliated with the ORSTAT department within the Faculty of Economics and Business.

    My research focuses on: Models for high-dimensional data, Probabilistic graphical models, Social network models, Copula models and Information criteria.

List of publications

Technical reports

Pircalabelu, E.

A spline-based time-varying reproduction number for modeling epidemiological outbreaks (Under review)



Book chapters

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Research team


Ensiyeh is a second-year PhD student in Statistics at the Institute of Statistics, Biostatistics and Actuarial Sciences of UCLouvain. She got her Bachelor's and Master's degrees in Statistics from Ferdowsi University of Mashhad, Iran. In her research, she worked on reliability modeling of the degradation systems and her current interest is modeling high-dimensional data and estimation of probabilistic graphical models. Currently, she is working on new methodological aspects for the estimation of probabilistic graphical models to the setting where datasets are stored on distributed computer clusters.


Emmanuel started his Ph.D. in Statistics at UCLouvain in the fall of 2019. Previously, he obtained a Master's degree in Statistics and Bioengineering at UCLouvain. His current research interest deals with differential network modeling adding prior information. High-dimensional settings apllied to conditional independence modeling take a central stage. Among other things, he enjoys reading, mountain hiking, and playing basketball.

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R packages

Some R packages accompanying the papers are available for free download.

This software comes as it is. No guarantee whatsoever is given. The author(s) cannot be held responable for any misunderstanding, incorrect use, false scientific conclusions or other problems using these programs. In case bugs are discovered, please feel free to contact me.

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Service to the profession


I am currently in charge of organizing the regular Statistical/Econometrics seminars at ISBA . A list of the upcoming seminars can be found here .

As part of the open-science paradigme that UCLouvain strongly believes in, I am currently together with other colleagues at UCLouvain, developing the RShiny@UCLouvain platform that will host didactical apps created in Shiny for classroom usage.

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One-week-ahead predictions

COVID - 19

To contribute to the understanding of the effect of the spread of the COVID-19 virus on the health care system in Belgium, I have developed a SHINY app that predicts one day ahead the amount of hospitalized and ICU patients, as well as the total number of deaths as a result of the virus.
https://eugenpircalabelu.shinyapps.io/covid19-forecasting .

More on the subject here: https://uclouvain.be/fr/instituts-recherche/lidam/actualites/how-can-we-predict-the-evolution-of-covid-19-in-belgium.html .

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Get in Touch


Room d.125, 1st floor; Voie du Roman Pays 20, 1348 Louvain-la-Neuve, Belgium