2024-2025
During the academic year, the National Center for Scientific Research hosts the following scientists at the international research laboratory in mathematics it has established in Montreal with the Centre de Recherches Mathématiques.
Pierre Baumann is a research scientist at CNRS, based at the *institut de recherche mathématique avancée* in Strasbourg. His research focuses on the representations of Lie groups and algebras, sitting at the intersection of algebra, combinatorics, and geometry. In his mathematical garden, one can find various species of preprojective algebras, varieties of affine Grassmannians, affine root systems, crystal bases of polytopes and paths, cluster structures, and the ever-intriguing perverse sheaves. His stay at the CRM will allow him to continue his long-standing collaborations with colleagues from LACIM (UQAM).
Pierre Baumann has also been involved in various outreach activities at the local level. He notes that one of his “curses” is that his most widely read mathematical text is a handout on the history of the discipline for undergraduate students, while (in his opinion) some of his more personal works are equally deserving of attention.
After completing a PhD in theoretical computer science in 2013 at LIRMM in Montpellier, [Nicolas Bousquet](https://perso.liris.cnrs.fr/nbousquet/) joined CNRS in 2016 as a research scientist, first at the G-SCOP laboratory in Grenoble and then at the LIRIS laboratory in Lyon since 2020.
The core of his research focuses on structural graph theory and graph algorithms. However, his research interests extend beyond these areas: game theory, combinatorics, etc. In recent years, he has been particularly interested in reconfiguration problems, which aim to determine the conditions that guarantee the existence of transformations between solutions to a problem. He has also explored distributed algorithms and local certification problems.
This year, he is hosted at the LACIM (Laboratory of Algebra, Combinatorics, and Mathematical Computing) at UQAM, where he is investigating the connections between combinatorics and reconfiguration.
After completing a PhD under the supervision of Amade-Escot, Dorier, and Leutenegger, defended in 2018 and entitled “A Comparative Study on the Implementation of a Didactic Engineering for Teaching Subtraction in the First Cycle of Primary Education Across Several Didactic Systems: Case Studies in Switzerland and France”, Michèle Couderette has been an assistant professor in mathematics didactics at the University of Paris-Est Créteil since 2019. Her research, conducted within the André Revuz Didactics Laboratory (LDAR), is closely related to teacher training and focuses on the analysis of teaching practices in ordinary contexts. It aims to account for transpositive phenomena at play during the implementation of teaching situations and to determine the modalities of co-construction of knowledge by students and their teachers.
Since 2019, her research has specifically focused on the teaching of algorithms in primary and secondary education, particularly the interactions between algorithms and mathematics in programming tasks that involve mathematical knowledge. During her stay at the CRM-CNRS in Montreal, she plans to give her research a comparative dimension: the comparison of didactic systems from countries with different teaching cultures and traditions helps to highlight the generic and specific dimensions of teaching and learning practices, thus providing insight into what determines teachers’ actions from both institutional and personal perspectives.
After completing his higher education at the *École Supérieure de Physique et de Chimie Industrielles* (ESPCI Paris), Nicolas Crampé pursued a doctoral thesis at the *Laboratoire d’Annecy de Physique Théorique (LAPTh)* (LAPTh) at the University of Savoie. He joined CNRS in 2009 and successively held positions at the University of Montpellier and then at the University of Tours from 2018 onward.
A specialist in exactly solvable systems and representation theory, Nicolas Crampé employs algebraic tools to explore the underlying symmetries of various physical problems. His research focuses on calculating entanglement entropies in quantum mechanics, evaluating mean values in non-equilibrium statistical models, and spectral analysis of Hamiltonians. More recently, he has also shown interest in certain special functions and their role in studying algebra representations, understanding association schemes, and analyzing quantum integrable models.
Sophie Dabo-Niang is a professor of applied mathematics at the University of Lille until 2010 and a researcher at INRIA Lille. She holds a PhD in statistics from Sorbonne University (2002). After a first teacher and researcher position at University Paris 2 from 2002 to 2004, she obtained an assistant Professor position at University Lille 3 in 2004. Her research focuses on the representation of time and spatial in random environments through the use of stochastic changes driven by real problems in various areas (i.e biology, economics, epidemiology, physics, environmental and hydrological studies, oncology).
She has authored over 80 scientific articles and 2 books, and has supervised 16 PhD theses. She led the Quantitative Methods team at the LEM CNRS 9221 (2015-2019) and the EQUIPPE laboratory at Lille 3 (2010-2015). She is currently leading the mathematics team at the Oncolille Institute. She is deeply committed to promoting mathematics and fostering the inclusion of women. She served as Chair of the Developing Countries Committee of the European Mathematical Society (EMS) and was recently elected to the CIMPA (International Center of Pure and Applied Mathematics) Governing Board. She is also a member of the Diversity Committee of the International Mathematical Union (IMU).
Sebastien Darses is an assistant professor in mathematics at Aix-Marseille University. He has worked in various fields, including high-dimensional probability and statistics. His recent interests lie in analytic number theory, specifically concerning approximation problems and identities related to the Riemann zeta function. S-He is is also the leader of the educational project [HighKholl](https://sites.google.com/view/sebastien-darses/teaching-project).
Thierry Daudé has been an assistant professor in mathematics since 2010, initially at the University of Cergy-Pontoise, and since 2022 at the University of Franche-Comté. His research mainly focuses on the study of geometric inverse problems stemming from general relativity or medical imaging. For example, he is interested in the anisotropic Calderón problem, which explores whether it is possible to determine (or even reconstruct) a metric within a compact Riemannian manifold with boundary based on measurements taken solely on the boundary. These measurements are encoded by the Dirichlet-to-Neumann operator. Alongside colleagues F. Nicoleau (Nantes) and N. Kamran (Montreal), he has notably produced counterexamples to uniqueness in the local Calderón problem for manifolds with only Hölder regularity. In the field of general relativity, Thierry Daudé is currently interested in determining the geometry of black hole-type spacetimes based on the knowledge of the quasinormal modes (resonances) of these black holes. This work is motivated by the fact that the frequencies of these resonances can now be calculated thanks to the LIGO and VIRGO gravitational wave detectors.
Ewen GALLIC is an assistant professor in economics at Aix-Marseille University and a member of Aix-Marseille School of Economics (UMR CNRS 7316) since September 2018. He holds a PhD in economics from the University of Rennes. His research focuses on two main areas: data science and environmental economics. The data science aspect explores topics such as the calibration of probabilistic classifiers, causal inference, and algorithmic discrimination, with applications in health economics and actuarial sciences. The environmental economics aspect focuses on the effects of climate change, specifically aiming to examine and quantify the impacts of weather shocks on the economy. Since September 2023, he has been a visiting researcher at the University of Quebec in Montreal, and since September 2024, he has been on secondment at the Centre de Recherches Mathématiques – CNRS.
Denis Grebenkov is a CNRS research director at the Institute of Physics. After defending his thesis in 2004 at École Polytechnique, his research has focused on diffusion phenomena and their applications. The central question of his studies is to understand the link between the geometric structure of a complex system and its transport properties. This theme encompasses various topics across different disciplines. On the mathematical side, it involves the spectral properties of the Laplace operator, the Steklov problem, even non-Hermitian operators, the description of stochastic processes confined by irregularly shaped interfaces, asymptotic analysis, optimization, and inverse spectral problems. On the applied side, it addresses intracellular transport, diffusion-controlled chemical reactions, first-passage statistics, and more. These studies combine theoretical and numerical tools and involve collaborations with experimentalists.
Denis Grebenkov is the author of 185 publications, and his contributions have been recognized with the thesis prize from École Polytechnique in 2004, the Giulio Cesare Borgia Prize in 2010, the CNRS Bronze Medal in 2012, and the Friedrich Wilhelm Bessel Prize in 2019. He is the recipient of a Simons Chair in fall 2024 to conduct research on the Steklov problem in collaboration with Canadian mathematicians.
Claire Guerrier defended her PhD in mathematical modeling for neuroscience in 2011. After a postdoctoral fellowship at UBC, where she worked between the Department of Mathematics and the Brain Research Center, she has been a CNRS research scientist at the *Laboratoire Jean-Alexandre Dieudonné* (CNRS & Université Côte d’Azur) since 2019. Her expertise focuses on solving multiscale problems, combining stochastic and continuous parts, asymptotic analysis, and mean first-passage time theory. She has led several interdisciplinary projects with experimental laboratories — on the pre-Botzinger complex with the Paris-Saclay Neuroscience Institute (CNRS & Université Paris-Saclay), on neuronal integration with the Faculty of Medicine at the University of British Columbia (UBC), and on myelin adaptation with the MBP consortium (McGill University), as well as a recent project on fungal growth with the Laboratoire interdisciplinaire des énergies de demain (Université Paris Cité).
Emmanuel Royer is a university professor at the University of Clermont-Auvergne, where he directed the *Laboratoire de mathématiques Blaise Pascal* from 2014 to 2018. He then became Deputy Scientific Director of the National Institute for Mathematical Sciences and their Interactions at CNRS from 2018 to 2023, responsible for support units (including the CIRM in Marseille, the IHP in Paris, and Mathdoc, which promotes open access publishing), mediation and educational links, gender parity, and communication.
Since completing his PhD under the supervision of Étienne Fouvry and Philippe Michel, which he defended in 2001, he has worked in number theory, focusing particularly on modular forms and related functions. Recently, for example, he has studied the distribution of partial sums of Kloosterman sums from an analytical perspective; and, from a more algebraic viewpoint, the formal deformations of quasi-modular and Jacobi forms generalizing Rankin-Cohen brackets.
Following a PhD in applied mathematics, supervised by Benoît Merlet and Claire Chainais-Hillairet and defended in Lille in September 2019, EAntoine Zurek undertook a two-year postdoctoral position in Vienna, Austria, within Ansgar Jüngel’s team. He has been an assistant professor at the Université Technologique de Compiègne (UTC) since September 2021 and a member of the Laboratoire de Mathématiques Appliquées de Compiègne (LMAC). He specializes in the numerical and theoretical analysis of partial differential equations (PDEs). Specifically, his work focuses on the construction and analysis of numerical methods that preserve the structure of certain parabolic and hyperbolic PDEs. He also explores the application of computer-assisted proof methods for the study of certain PDE systems. Lastly, Antoine Zurek has been granted a six-month CNRS delegation (from 01/09/2024 to 28/02/2025) at the CNRS IRL CRM in Montreal.
2023-2024
He is a specialist in Riemannian and Kählerian geometry with interests in Kähler-Einstein metrics and Kähler metrics with constant scalar curvature (“Kcsc”). More precisely, his work deals on the one hand with an original construction of ALF hyperkählerian metrics using global analysis techniques, and on the other with structure theorems (uniqueness, asymptotic behavior) of complete, finite-volume Kcsc or even “extremal” metrics on the complementary of a divisor.
Beyond complex geometry (with algebraic accents), singular complex Monge-Ampère equations are at the heart of most of this work, and remain very present in Auvray’s current investigations, such as the deformation of ALF metrics up to certain critical thresholds, and the analysis of Kcsc/extreme metrics through the Chen-Cheng approach.
H.A. has been a member of several ANR projects in recent years, as well as the main organizer of the Orsay Harmonic Analysis seminar in 2027-2019, and the co-organizer of various working groups, workshops and conferences. He is also the recipient of a Simons Chair in spring 2024, on the occasion of the thematic semester Geometric Analysis at the CRM.
Since 2021, he has been a lecturer at the Université de Pau et des Pays de l’Adour (UPPA) in the Sciences pour l’Ingénieur Appliquées à la Mécanique et au génie Electrique (SIAME) laboratory.
His current research focuses on the numerical analysis of harmonic wave propagation problems and topological optimization in fluid mechanics. He is currently based at Laval University in Quebec City, where he is a member of the GIREF (Groupement Interdisciplinaire de Recherche en Éléments Finis).
After completing a PhD thesis in applied mathematics in 2012 at ONERA and Paul Sabatier university of Toulouse, Pierre-Henri Cocquet has been appointed “Maitre de conférences” at La Réunion island university.
Since 2021, he is “Maitre de conférences” at University of Pau and Adour Region and is a member of the Laboratory for applied sciences in mechanics and electrical engineering.
His current research topics focus on numerical analysis for time-harmonic wave propagation problems and on topology optimization for fluid flows. He will stay at Laval University of Québec to work with some members of the GIREF (Groupement Interdisciplinaire deRecherche en Éléments Finis).
Denis Grebenkov is a CNRS research director at the Institute of Physics. After defending his thesis in 2004 at École Polytechnique, his research has focused on diffusion phenomena and their applications. The central question of his studies is to understand the link between the geometric structure of a complex system and its transport properties. This theme encompasses various topics across different disciplines. On the mathematical side, it involves the spectral properties of the Laplace operator, the Steklov problem, even non-Hermitian operators, the description of stochastic processes confined by irregularly shaped interfaces, asymptotic analysis, optimization, and inverse spectral problems. On the applied side, it addresses intracellular transport, diffusion-controlled chemical reactions, first-passage statistics, and more. These studies combine theoretical and numerical tools and involve collaborations with experimentalists.
Denis Grebenkov is the author of 185 publications, and his contributions have been recognized with the thesis prize from École Polytechnique in 2004, the Giulio Cesare Borgia Prize in 2010, the CNRS Bronze Medal in 2012, and the Friedrich Wilhelm Bessel Prize in 2019. He is the recipient of a Simons Chair in fall 2024 to conduct research on the Steklov problem in collaboration with Canadian mathematicians.
After completing a PhD under the supervision of Amade-Escot, Dorier, and Leutenegger, defended in 2018 and entitled “A Comparative Study on the Implementation of a Didactic Engineering for Teaching Subtraction in the First Cycle of Primary Education Across Several Didactic Systems: Case Studies in Switzerland and France,” Michèle Couderette has been an associate professor in mathematics didactics at the University of Paris-Est Créteil since 2019. Her research, conducted within the André Revuz Didactics Laboratory (LDAR), is closely related to teacher training and focuses on the analysis of teaching practices in ordinary contexts. It aims to account for transpositive phenomena at play during the implementation of teaching situations and to determine the modalities of co-construction of knowledge by students and their teachers.
Since 2019, her research has specifically focused on the teaching of algorithms in primary and secondary education, particularly the interactions between algorithms and mathematics in programming tasks that involve mathematical knowledge. During her stay at the CRM-CNRS in Montreal, she plans to give her research a comparative dimension: the comparison of didactic systems from countries with different teaching cultures and traditions helps to highlight the generic and specific dimensions of teaching and learning practices, thus providing insight into what determines teachers’ actions from both institutional and personal perspectives.
Previously Professor at INSA Rouen (from 2005 to 2016), he was also a research associate at the Laboratoire Interdisciplinaire des Energies de Demain at the University of Paris.
His career alternates between academic positions in France (Paris, Poitiers, Rouen, Nice) and abroad (Yale, Milan, Lund),
as well as in industry (Dassault, EADS, MBDA).
Some of his research activities concern mathematical modeling and asymptotic analysis in the context of turbulent combustion and active interfaces: stochastic integro-differential equations with memory, nonlinear and non-local stochastic evolution equations, network approaches to directed percolation.
Other work is more applied, involving direct numerical simulation (DNS) or large-scale simulation (LES), on massively parallel machines and using dedicated algorithms (HPC) of reactive turbulent multispecies fluid flows.
Some of Yves D’Angelo’s work combines DNS (small-scale) and asymptotic approaches (meso or macro-scale), with a strong software and algorithmic development component. Our experience in modeling and simulation of reactive, turbulent, multiphase, disordered, supersonic and granular flows, active fronts, acoustics, free boundary problems, interface instabilities, etc., also enables us to direct some of our activities towards interactions with other disciplines in physics and biology: nanothermoplasmonics, multiscale modeling of biological networks (network of hyphae in the filamentous fungus Podospora anserina, developing neurons in the brain of Xenopus laevis. )
Physics-based machine learning, linked to his experience of active fronts, is also part of his future research projects.
Sebastien Darses is an associate professor in mathematics at Aix-Marseille University. He has worked in various fields, including high-dimensional probability and statistics. His recent interests lie in analytic number theory, specifically concerning approximation problems and identities related to the Riemann zeta function. S-He is is also the leader of the educational project HighKholl.
Claire Guerrier defended her PhD in mathematical modeling for neuroscience in 2011. After a postdoctoral fellowship at UBC, where she worked between the Department of Mathematics and the Brain Research Center, she has been a CNRS research scientist at the Jean-Alexandre Dieudonné Laboratory (CNRS & Université Côte d’Azur) since 2019. Her expertise focuses on solving multiscale problems, combining stochastic and continuous parts, asymptotic analysis, and mean first-passage time theory. She has led several interdisciplinary projects with experimental laboratories — on the pre-Botzinger complex with the Paris-Saclay Neuroscience Institute (CNRS & Université Paris-Saclay), on neuronal integration with the Faculty of Medicine at the University of British Columbia (UBC), and on myelin adaptation with the MBP consortium (McGill University), as well as a recent project on fungal growth with the Laboratoire interdisciplinaire des énergies de demain (Université Paris Cité).
