Christophe Ley

Christophe Ley is an Assistant Professor of Mathematical Statistics at the Department of Applied Mathematics, Computer Science and Statistics, Ghent University. His work bridges theoretical and applied statistics, with a focus on Stein’s Method, flexible modeling, and sports analytics.

• Email: Christophe.Ley@UGent.be
• Teaching: Machine Learning, Data Mining, Big Data Science in Advanced Master of Statistical Data Analysis

Research Interests: Statistical inference, Stein’s Method applications, directional statistics, semi-parametric models, and sport analytics. His work includes developing probabilistic tools and applying them to real-world challenges like sports prediction.

• Key Contributions:
  • Hybrid random forest models for soccer match prediction
  • Stein’s Method extensions for distribution comparison
  • Prior impact measures in Bayesian statistics

Publications: Over 50 papers, including influential works in Annals of Applied Probability and Probability Surveys. His research spans theoretical advancements and interdisciplinary applications.