Leonardo Egidi
Professore Associato (associate Professor)
Trieste, Friuli – Venezia Giulia, Italy
Summary
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Senior🎓
Top SchoolLeonardo Egidi is an associate professor of statistics at the University of Trieste with a decade of experience developing Bayesian methods for theoretical and applied problems, particularly in clinical trials and biostatistics. He has authored around 20 peer-reviewed papers, released three R packages, and regularly consults for medical studies, firms, and institutions, bridging rigorous research with practical impact. His teaching and supervision span Bayesian statistics, statistical learning and probabilistic programming, informed by a PhD from the University of Padova and a visiting scholar stint at Columbia. Fluent in R and applied computational methods, he combines academic leadership with hands-on software tools that accelerate reproducible analysis. An understated strength is his track record of translating advanced Bayesian methodology into accessible packages and consultant-ready solutions for real-world medical and business problems.
10 years of coding experience
2 years of employment as a software developer
Dottorato di ricerca, Scienze Statistiche, Dottorato di ricerca, Scienze Statistiche at Università degli Studi di PadovaLiceo scientifico Guglielmo OberdanMagistrale, Scienze statistiche e attuariali, 110 cum laude, Magistrale, Scienze statistiche e attuariali, 110 cum laude at Università degli Studi di Trieste
Github Skills (5)
r-package10
journal7
open-access6
creative-commons5
academia5
Programming languages (4)
Github contributions (5)
LeoEgidi/Prediction-isn-t-everything-
Oct 2019 - Feb 2024
Ideas, comments, (eventually) code to set up a 'philosophy' paper about the role of prediction in statistics
Contributions:2 PRs, 47 pushes, 3 branches in 4 years 5 months
statisticspythonpredictiondata-sciencemachine-learning
LeoEgidi/footBayes
Nov 2019 - Dec 2022
An R package for many football models
Contributions:514 commits, 5 PRs, 469 pushes in 3 years 1 month
r-packagerstatsfootball
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