Organisation: Modelling, Interdisciplinary Research, Data Science, Applied Mathematics and Statistics

• Research Projects Pages

  PERFORM

  The PERFORM project focuses on two main case studies: biological and psychological markers in relation to i) injury risk and fatigue in athletic populations and ii) mental health in at-risk populations.

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• Core Research Projects

  Physiological and Endocrine Research on Fatigue and Recovery Monitoring (PERFORM)

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• Research Projects Pages

  MATHCODA: Mathematical Tools for Complex Data Structures

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• Core Research Projects

  Mathematical Tools for Complex Data Structures (MATHCODA)

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• News

  Statistically Enhanced Learning (SEL): Revolutionising predictions in sports and equine medicine

  First developed in 2018 by Professor Christophe Ley from the Department of Mathematics at the University of Luxembourg, this innovative approach to machine learning is making waves far beyond the lab. By blending statistical insights with machine learning models, SEL (Statistically Enhanced Learning) unlocks new predictive power. Let’s check in on how this brainchild is…

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• News

  Three prestigious grants in statistics

  Mathematicians Christophe Ley, Guenda Palmirotta and Katarzyna Mroz from the Department of Mathematics of the University of Luxembourg have recently received grants from the Institute of Advanced Studies (IAS) and the Luxembourg National Research Fund (FNR).

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