Field of interest: Mathematics

  • Research Groups

    Developing Contemporary Mathematical Statistics

    The objective of the group is to develop new robust substitutes to classical statistical methods such as maximum likelihood, least squares and Bayesian methods.

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  • Research Groups

    Non-classical logics

    Our group investigates logical systems using algebra and topology to establish links between syntax and semantic.

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  • Research Groups

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

    The research group Modelling, Interdisciplinary Research, Data Science, Applied Mathematics and Statistics (MIDAS) focuses on statistical modelling and data science.

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  • Research Groups

    Derived Algebraic Geometry and its Applications

    Using the powerful tool of derived algebraic geometry, we establish connections between structures in representation theory and algebraic geometry.

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  • Research Groups

    Statistical Analysis of Stochastic Processes

    Our group investigates statistical and probabilistic techniques for continuous time stochastic processes.

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  • Research Groups

    Exploring Mathematical Laws through Equations

    Members of our group study functional equations and some of their applications to calculus and algebra.

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  • Research Groups

    Revealing Order in Randomness

    Group members study complex random systems by means of probabilistic, analytical, and geometric methods.

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  • Research Groups

    Geometric Structure and Moduli Spaces

    We study geometric structures on low-dimensional manifolds, such as hyperbolic or anti-de Sitter structures, representations of surface groups in Lie groups, and their moduli spaces.

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  • Research Groups

    Number Theory and Arithmetic Geometry

    Members of our group study number theory (algebraic, analytic, and computational aspects) and arithmetic geometry.

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  • Study Programmes

    Master in Data Science

    The Master in Data Science (MADS) at the University of Luxembourg provides students with the necessary mathematical and computer science skills to allow them to solve complex problems with data in different contexts.

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