Invited talks
Mini-courses : Thomas Opitz is a researcher in the Biostatistics and Spatial Processes (BioSP) unit of INRAE in Avignon. It develops methods and tools in spatio-temporal statistics to model climatic, environmental, ecological and epidemiological phenomena, in particular risks and extreme events against a backdrop of climate and environmental change. The approaches he mobilizes are often based on a solid foundation in extreme value theory and stochastic geometry. He is an elected member and president of the "Environment and Statistics" group of the SFdS, coordinator of the RESSTE network and member of the steering committee of the CLIMAE MetaProgram. Title : An introduction to Extreme Value Theory
Daniel Rosen is a Postdoc in the Analysis group on the Faculty of Mathematics at the TU Dortmund. Previously, he was a Postdoc in the Stochastic group of the Faculty of Mathematics at the Ruhr-Universität Bochum. His main research interests are symplectic and contact topology, convex and stochastic geometry, and the intersection of these latter.
Title : Random polytopes
Invited speakers : François Bienvenu is Junior Fellow at the Institute for Theoretical Studies at ETH Zürich. He carries out his research in mathematics and mathematical biology. His research themes include dynamic random graphs, trees, percolation, phylogenetic networks and the study of structured populations. Title : A branching-coalescence model of phylogenetic network
Frédéric Chazal is Research Director at INRIA Saclay Ile-de-France and Director of the DATAIA Institute at the University of Paris-Saclay. He leads the DataShape team (INRIA and LMO). F. Chazal's contributions in this field range from fundamental mathematical aspects to algorithmic and applied problems. During the last years, he has led several national and international research projects on geometric and topological methods in statistics, machine learning and AI as well as joint projects with industry (Fujitsu, Sysnav,...). Title : Clustering of discrete measures via mean measure quantization with applications to Topological Data Analysis
Nicolas Chenavier is a lecturer at the University of Littoral Côte d'Opale. He carries out his research in Probability at the Laboratory of Pure and Applied Mathematics J. Liouville (EA2597). His research themes revolve around stochastic geometry, random mosaics and graphs, limit theorems, extreme value theory and topological data analysis.
Title : Maximum Composite Likelihood Estimators for a Brown-Resnick random field in infill asymptotic
Céline Duval is a University Professor at the University of Lille. She conducts her research at the Painlevé Laboratory (UMR 8524). His research interests include the study of the influence of the sampling rate on statistical procedures, discretely observed random processes, nonparametric estimation, information loss and the geometry of excursion sets in random fields.
Title : Geometry of excursion sets: computing the surface area from discretized points
Florence Forbes is Research Director at INRIA Grenoble Rhone-Alpes where she leads the STATIFY team. Florence Forbes is also co-founder and chief scientist of Pixyl. His main research themes are Bayesian image analysis, Markovian processes and random fields and clustering techniques.
Title : Non parametric Bayesian priors for hidden Markov random fields
Bruno Galerne is a Professor in Applied Mathematics at University of Orléans since 2018 and currently a Junior member on an innovation chair at Institut Universitaire de France (IUF) (2022-2027). His main research field is stochastic modeling for image processing. He is particularly interested in stochastic texture modeling and deep generative models for imaging inverse problems.
Title : Determinantal Point Processes for Image Processing
Matthieu Jonckheere is CNRS Research Director at LAAS (Toulouse). His research themes include performance evaluation and control of information or communication systems, various facets of learning, stochastic networks, particle systems or dynamics on random graphs. Title : The critical parameter of Fermat distance
Julie Le Gallo is a Professor in Economics at the Institut Agro Dijon where she leads the Department of Human and Social Sciences. Her research themes include spatial economics and local public economics, which she studies using experimental methods derived from spatial statistics and microeconomics.
Title : Economic impacts of short-term rentals in France: Insights from spatial statistics and causal inference
Emmanuel Roubin is Maître de conférences at Université Grenoble Alpes (UGA). He is affiliated to Laboratoire 3SR (UMR 5521) and IUT 1 GCCD. His main research themes focus on the study of failure mechanisms in geomaterials such as concrete, rocks or clays. They lead him to work on fine-scale field measurements, experimental fields, advanced numerical simulations as well as random field theory.
Title : Morphological modeling of the microstructure of geo-materials: current limitations of the excursion set theory
Laura Sangalli is a Professor in Statistics at the Laboratory for Modeling and Scientific Computing MOX, Politecnico Milano. Her main research interests are Functional data analysis, High-dimensional and complex data, Spatial data analysis, Spatial regression with PDE regularization
and Biostatistics. Title : Physics informed spatial and functional data analysis over non-Euclidean domains
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