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Johan Taflin is a Lecturer at the University of Burgundy, affiliated with the Institute of Mathematics of Burgundy (IMB) under the Faculty of Science. His research focuses on complex dynamics in several variables and pluripotential theory, with significant contributions to attracting sets, equidistribution, and moduli spaces of dynamical systems. He has led the ANR DynAtrois project since 2025 and oversees the new Master of Mathematics program launching in 2025. Research Interests: Complex dynamics in projective spaces and several variables Pluripotential theory and its applications Dynamical systems, attractors, and moduli spaces Interdisciplinary links with mathematical physics and algebraic geometry Publications Trends: His work spans complex dynamics, including studies on blenders, postcritically finite maps, and equidistribution toward Green currents. Key subfields include holomorphic endomorphisms, algebraic geometry, and mathematical physics. Leadership: He directs the ANR DynAtrois project (2025–2030) and manages the Dijon Master of Mathematics program, which emphasizes fundamental and applied mathematics with ties to artificial intelligence.

• Complex Dynamics
• Pluripotential Theory
• Dynamical Systems
• +2 more

Anush Tserunyan is a Professor of Mathematics at McGill University, Canada, and a Visiting Professor at the Unit of Pure and Applied Mathematics (UMPA) at École normale supérieure de Lyon from December 1, 2024, to January 31, 2025. She holds a bachelor's and master's in computer science and applied mathematics from Yerevan State University (2005–2007) and a Ph.D. in Mathematics from UCLA (2013), focusing on finite generators for group actions, equivalence relations, and recursive program complexity. Research Interests: Anush Tserunyan specializes in Ergodic Theory , Combinatorics , and Group Actions , with notable contributions to graph theory, hypergraphs, and Ramsey theory. Her work bridges combinatorial structures with analytic methods, particularly in dynamical systems and descriptive set theory. Collaborations: During her visit to UMPA, she collaborates with teams in Geometry, Groups and Dynamics , and Number Theory , alongside researchers like Benjamin Schraen and Sophie Morel. Her stay includes seminars on GGD, Number Theory, and the 'Actions!' working group. Publications: Her research spans topics like ergodic theorems, disjoint matchings in graphs, and algebraic hypergraphs, reflecting a focus on foundational mathematical structures and their applications.

• Mathematics
• Ergodic Theory
• Combinatorics
• +3 more

Christine Vespa is a Professor at Aix-Marseille Université affiliated with the Institute of Mathematics (I2M) in Marseille. Her research lies at the intersection of Algebra , Algebraic Topology , and Category Theory , focusing on polynomial functors , functor homology , and stable homology of group families. Education Habilitation à diriger des recherches (HDR), Université de Strasbourg, 2013. Thesis: Foncteurs polynomiaux et homologie stable à coefficients polynomiaux . Jury: William Dwyer, Vincent Franjou, Hans-Werner Henn, Nick Kuhn, Birgit Richter, Lionel Schwartz. Doctorat en Mathématiques, Université Paris 13, 2005. Thesis: La catégorie F_quad des foncteurs de Mackey généralisés pour les formes quadratiques sur F2 . Director: Lionel Schwartz. Research Interests Her work explores structural properties of polynomial functors and their applications in homology stability. She connects abstract category-theoretic frameworks with concrete algebraic and topological problems, such as stable homology for automorphism groups of free groups and orthogonal groups. Recent preprints address PROP structures , analytic exponential functors , and Jacobi diagrams , highlighting her engagement with algebraic topology and category theory. Article Trends Christine Vespa's publications and preprints emphasize algebraic topology and category theory . Recent trends include analyzing partition PROPs , exponential functors , and Jacobi diagrams in the context of stable homology. Earlier works delve into Hochschild homology , automorphism groups , and generalized Mackey functors , showcasing her contributions to homological algebra and representation theory. Advising Antoine Feltz (2020–2024): Foncteurs polynomiaux sur les catégories FI_d . Arthur Soulié (2015–2018): Foncteurs de Long-Moody et homologie stable des groupes de difféotopie . Andrea Cesaro (2012–2016): Pre-Lie algebras and operads in positive characteristic , co-supervised with Benoit Fresse. Labs & Teams She is a member of the Analyse, Géométrie, Topologie research group at I2M. She has organized academic events, including the 2014 Strasbourg workshop on Mac Lane's cubic construction and the 2015 Strasbourg Masterclass on Topological K-theory.

• Algebra
• Algebraic Topology
• Category Theory
• +3 more

Pierre Marion is a Researcher at INRIA Paris, working within the Sierra research team since September 2025. His work focuses on the theoretical foundations of deep learning and he is beginning to explore applications of AI in mathematics. Marion has established collaborations across multiple institutions including EPFL, Sorbonne Université, and Google DeepMind. His educational background includes: Engineering degree from École polytechnique (2015-2018) with specialization in Applied Mathematics Master's degree from Sorbonne Université (2019-2020) PhD from Sorbonne Université (2020-2023) under the supervision of Gérard Biau and Jean-Philippe Vert Postdoctoral research at EPFL (2024) supervised by Lénaïc Chizat Marion's research interests primarily focus on the theory of deep learning, where he investigates the optimization and statistical properties of various neural network architectures. His work spans from shallow networks to complex generative models, with a particular emphasis on understanding the mathematical foundations that govern deep learning performance. Recently, he has begun exploring applications of AI in mathematical research, aiming to bridge the gap between theoretical machine learning and mathematical discovery. His research often combines rigorous theoretical analysis with practical implications for training deep neural networks. Analysis of Marion's recent publications reveals several key trends in his research. He has made significant contributions to understanding the role of large learning rates in optimization dynamics, demonstrating how they can accelerate convergence in logistic regression and prevent memorization in score-based generative models. His work on attention mechanisms has provided theoretical guarantees for their effectiveness in specific tasks like single-location regression and clustering. Additionally, Marion has extensively studied the connections between residual networks and neural ordinary differential equations , establishing generalization bounds and exploring scaling properties in the large-depth regime. His earlier work included contributions to natural language processing and quasi-Monte Carlo methods, reflecting a broad mathematical foundation that informs his current deep learning research. Marion has received several notable scientific awards: Runner-up PhD Award of AFIA (French Association for Artificial Intelligence) in 2024 Google PhD Fellowship in 2022 Ecole polytechnique Grand Prize of Research Internships in 2018 As an advisor, Marion currently supervises PhD student Yu-Han Wu (since 2024), with whom he has co-authored multiple publications on large learning rates and denoising score matching. Previously, he co-supervised several Master's students including Seorim Park, Yerkin Yesbay, and Nathan Doumèche. Marion has been actively involved in the machine learning community through conference organization (NeurIPS@Paris meetups), session chairing (ICSDS 2022), and extensive reviewing activities. He has served as a reviewer for top journals including JASA and Annals of Statistics, and conferences including NeurIPS and ICLR, where he was recognized as a top reviewer at NeurIPS 2023. Marion is a member of the Sierra research team at INRIA Paris, which focuses on machine learning theory and applications. He has also collaborated with researchers at CREST (Center for Research in Economics and Statistics), as evidenced by his participation in seminars organized by Anna Korba and Karim Lounici. His work often bridges theoretical computer science, statistics, and applied mathematics, reflecting the interdisciplinary nature of modern machine learning research.

• Deep Learning Theory
• Optimization of Neural Networks
• Generative Models
• +2 more

Thomas Boddaert is an Assistant Professor at the Institut de Chimie Moléculaire et des Matériaux d'Orsay (ICMMO), Université Paris-Saclay . His research focuses on organic photochemistry , synthesis of constrained β-amino acids , and conformational studies of peptide-based foldamers . He leads the photochemistry theme and instrumental platform in the CP3A Organic Synthesis group and manages collaborations with industry partners like Diverchim. PhD in Organocatalysis (Aix-Marseille University, 2009) Postdoctoral research: Manchester University (2010), Rouen University (2010-2012) HDR (2021) for PhD supervision qualification His research includes: Photochemical domino reactions for sulfur heterocycles Peptide foldamer design with cyclobutane motifs Asymmetric synthesis using N-heterocyclic carbenes (NHCs) Visible-light photocatalysis Recent publications demonstrate expertise in: Light-initiated cascade synthesis of alkylidenecyclobutanes (2024) Thia-Paternò-Büchi reaction applications (2024, 2022) Conformational analysis of oxetin oligomers (2018) Fluorinated β-peptide folding studies (2015) Awards: Thieme Chemistry Journals Award (2019) Emergence@international scholarship (INC/CNRS, 2020) Teaching and administrative roles: Co-responsible for L3 Organic Photochemistry Head of L2 Organic Chemistry courses Manager of the Villebon – Georges Charpak Institute chemistry program Member of Paris-Saclay University advisory commission (2021–) He supervises 6 Paris-Saclay PhD students , 2 foreign PhD students , and 2 postdoctoral researchers , with notable projects on: Photochemical post-functionalization of thietanes (2024–) Domino reactions for sulfur heterocycles (2023–) Light-controlled kinase inhibitors (2021)

• Organic Photochemistry
• Peptide-based Foldamers
• Organocatalytic Transformations
• +3 more

Nicolas Riviere is a Professor at INSA Lyon in the Department of Mechanical Engineering, working within the Laboratory of Fluid Mechanics and Acoustics (LMFA - UMR 5509). He is part of the "Fluides complexes et transferts" (Complex Fluids and Transfers) group and the Environment team. His teaching activities primarily focus on fluid mechanics at the Mechanical Engineering Department of INSA Lyon, covering: General balances (mass, momentum, energy) Aerodynamics Compressible flows Numerical simulation of flows Free surface hydraulics Prof. Riviere's research centers on free surface hydrodynamics, with applications to natural and industrial risks. His work takes an experimental approach, utilizing the laboratory's channel facilities, particularly the channel intersection installation. His research spans river floods with compound beds, urban flooding, sanitation networks, torrential flows, and flow-obstacle interactions. He has developed a strong interdisciplinary focus, co-leading the "Baignades en Rivières Urbaines" studio with Oldrich Navratil from University Lyon 2 and the EVS Laboratory. His publication record demonstrates consistent contributions to the fields of fluid mechanics and environmental hydraulics, with recent work focusing on open-channel flows, urban flooding phenomena, vegetation-flow interactions, and experimental techniques for studying complex hydraulic phenomena. His research often bridges theoretical fluid mechanics with practical environmental applications. Prof. Riviere has received recognition for his work in environmental fluid mechanics, with numerous publications in high-impact journals in hydraulic engineering and fluid mechanics. He has supervised multiple PhD students and research projects related to environmental fluid mechanics and has collaborated with various institutions on interdisciplinary research projects addressing water-related challenges. The laboratory where he works, LMFA, provides extensive experimental facilities including wind tunnels, hydrodynamic channels, and advanced measurement techniques such as PIV (Particle Image Velocimetry), LDV (Laser Doppler Velocimetry), and other state-of-the-art instrumentation for fluid flow analysis.

• Fluid Mechanics
• Hydrodynamics
• Free Surface Flows
• +4 more

Guido Pintacuda is a CNRS Research Director and Head of the Lyon High-Field NMR Center (CRMN) at École Normale Supérieure de Lyon since 2019. His work centers on advancing solid-state NMR methodologies with ultra-fast magic-angle spinning (MAS) to achieve atomic-level resolution in complex biomolecular and materials systems that are intractable to conventional techniques. Educational background: Undergraduate studies (1992-1997) and PhD in Sciences (1998-2002) at Scuola Normale Superiore in Pisa, Italy; postdoctoral research at Karolinska Institutet (2001-2004) and Australian National University (2004). Research interests focus on pushing NMR frontiers through high-field instrumentation and fast MAS (up to 160 kHz), with dual objectives: (i) biomolecular structure determination for membrane proteins, amyloid fibrils, and viral assemblies; (ii) solid-state NMR of paramagnetic materials like battery cathodes and catalysts. His innovations include proton detection in fully protonated proteins and DNP-enhanced sensitivity. Recent publications (2021-2024) show heavy emphasis on proton-detected NMR under fast MAS for structural biology, alongside growing work in paramagnetic materials. Key trends include method development for μs–ms dynamics, miniature rotor protocols for membrane proteins, and collaborations with Bruker for 150+ kHz probe technology. Scientific awards: ERC Consolidator Grant (P-MEM-MAS, 2015-2021) Sackler Prize (2017) ISMAR Fellow (2020) Mentoring and grants: Principal investigator for major projects including ERC (2.5 M€), ANR CTRbyNMR (384 k€), and EU PANACEA (5 M€, co-coordinator). Actively mentors PhD student Clément Ollier and postdocs (Z. Sun, S. Medina-Gomez) at ENS Lyon and international schools. Labs and teams: Directs CRMN (UMR 5082 CNRS/ENS Lyon/UCBL), a world-class NMR facility with unique high-field equipment. Leads a research group developing 150+ kHz MAS probes in partnership with Bruker Biospin and maintains strong ties to the University of Delaware (T. Polenova) and European networks.

• Nuclear Magnetic Resonance Spectroscopy
• Solid-State NMR
• Biomolecular NMR
• +3 more

Professor Petros Elia is a faculty member at EURECOM, holding the position of Professor within the Department of Communications systems. He specializes in Information Theory , Coding Theory , Caching , Distributed Computing , and Wireless Networks , with additional research in Biometrics . His work focuses on advancing theoretical foundations and practical applications in distributed systems and wireless communication efficiency. He received a prestigious ERC Consolidator Grant for his DUALITY project (2016) and a four-year Fulbright Scholarship (1993-1997). He is also a recipient of the Newcom++ Network of Excellence Distinguished Achievement Award (2008-2011) and the Best Student Paper Award at SPAWC 2011, awarded to his advisee Arun Singh. His research explores cutting-edge topics such as tessellated distributed computing , hypergraph decomposition , and topology-aware caching , with recent contributions presented at venues like the IEEE International Symposium on Information Theory (ISIT 2025). His work bridges theoretical advancements with real-world applications in wireless networks and distributed systems. Education: Supported by his Fulbright Scholarship, he pursued studies in the U.S. during 1993-1997. Grants: ERC Consolidator Grant (2016), and others. Advising: Mentor to Arun Singh , whose work earned a student paper award. He actively contributes to teaching Mobile Communications at EURECOM and remains a key figure in advancing the field through interdisciplinary collaborations and leadership in the Communication Systems department.

• Information Theory
• Coding Theory
• Caching
• +3 more

Tilmann Wurzbacher is a Professor at the University of Lorraine, affiliated with the Department of Mathematics, Computer Science, and Mechanics. His research focuses on geometric methods in mathematical physics, including multisymplectic geometry, supermanifolds, complex Kähler manifolds, and infinite-dimensional analysis. He has contributed to the development of multisymplectic structures for classical field theories and collaborates on foundational questions in supergeometry. His recent publications emphasize multisymplectic geometry, supermanifolds, and infinite-dimensional structures, with applications to geometric quantization, conservation laws, and Hamiltonian systems. He has co-authored works on co-moments, Lagrangian submanifolds, and singular superspaces. Wurzbacher actively organizes seminars and workshops, including the weekly LieGA seminar and international workshops on multisymplectic geometry. He participates in CNRS-funded networks such as the 80Prime Project "GraNum" and the GDGR "GDM".

• Geometric Methods in Mathematical Physics
• Differential Geometry
• Multisymplectic Geometry
• +4 more

Oliver Nash is a researcher at Imperial College London, actively engaged in the formalisation of advanced mathematical concepts. His work bridges geometry and computational logic, with a focus on rigorous proof systems. Research Interests: Oliver's research lies at the intersection of geometry and the formalisation of mathematics. He specialises in using proof assistants to verify deep mathematical results, including topics such as the h-principle, sphere eversion, and Lie algebras. His work contributes to the growing field of certified mathematics, ensuring correctness through machine-checked proofs. Publication Trends: His recent publications at the CPP conference demonstrate a consistent focus on formalising foundational results in differential geometry and algebra. These works reflect a trend toward computational trust in mathematical proofs, particularly in complex geometric transformations and algebraic structures. Professional Activities: Oliver is an active contributor to the Certified Programs and Proofs (CPP) conference, presenting cutting-edge work in formal verification. He maintains a personal website detailing both his academic contributions and early explorations in computer graphics, such as raytracing and radiosity rendering from the early 2000s. Labs and Projects: While specific lab affiliations are not mentioned, his work is closely aligned with research groups in formal methods and interactive theorem proving, likely involving tools like Lean, Coq, or Isabelle.

• Geometry
• Formalisation of Mathematics
• Mathematical Logic
• +3 more

Taein Kwon is a postdoctoral research fellow at the Visual Geometry Group (VGG) within the Department of Engineering Science at the University of Oxford, working under Prof. Andrew Zisserman. Previously, he completed his PhD at ETH Zurich under Prof. Marc Pollefeys and earned master's and bachelor's degrees from UCLA and Yonsei University, respectively. His educational background includes: Bachelor's in Electrical Engineering from Yonsei University, Seoul, Korea Master's degree from UCLA PhD from ETH Zurich (defended July 2024) His research spans Egocentric Vision, Action Recognition, Hand-object Interaction, Video Understanding, AR/VR, and Multi-modal Learning, with emphasis on first-person perspective analysis for AI assistants and human-computer interaction. His work integrates 3D reconstruction, pose estimation, and multimodal signals to model complex human activities and physical interactions. Analysis of his 2021-2025 publications reveals a consistent focus on egocentric vision datasets (H2O, HoloAssist, EgoPressure) and novel frameworks for hand-object interaction, action recognition, and gesture understanding. His research demonstrates strong interdisciplinary connections between computer vision, robotics, and human-centered AI, with increasing emphasis on pressure sensing, co-speech gestures, and cross-modal alignment. His scientific recognition includes: CVPR Egovis 2022/2023 Distinguished Paper Award for HoloAssist (July 2024) SNSF Postdoc.Mobility fellowship (May 2024) He actively mentors students on egocentric vision projects, supervising master's theses, semester projects, and collaboration initiatives leading to publications at top conferences. His research is supported by the SNSF fellowship and industry collaborations with Meta Reality Labs and Microsoft Research. As part of Oxford's Visual Geometry Group, he contributes to cutting-edge computer vision research while maintaining strong ties with ETH Zurich's computer vision community through ongoing collaborations and dataset development efforts.

• Egocentric Vision
• Action Recognition
• Contextual AI
• +6 more

Prof. Anne PICHON is a Professor at the University of Aix-Marseille and a member of the Institut de Mathématiques de Marseille (I2M). She holds leadership positions, including membership in the CoNRS (National Committee of CNRS) section 41 since 2021 and directorship of the FRUMAM (Research Federation of Mathematics Units of Marseille) from 2018 to 2022. Her research focuses on topology and geometry of singular spaces, algebraic geometry, and low-dimensional topology. She coordinates the ANR project LISA (2017–2022) and serves as an associate editor for the Journal of Singularities . Her work explores Lipschitz geometry, metric properties of singularities, and their classification. She actively participates in seminars like the Marseille Geometry and Topology Seminar and the Rauzy Seminar. PICHON’s contributions bridge geometric analysis with algebraic structures, emphasizing both theoretical and applied aspects of singularity theory. Research Interests Topology and geometry of singular spaces and morphisms Algebraic geometry, particularly singularities of complex spaces Lipschitz geometry of singularities and metric invariants Low-dimensional topology and fiber structures Key Activities ANR Project LISA Coordinator (2017–2022) Member of GDR Singularities and Applications Editorial Board, Journal of Singularities Leadership roles in FRUMAM and CoNRS Labs/Teams She contributes to the Institut de Mathématiques de Marseille (I2M) and collaborates within the FRUMAM federation, fostering interdisciplinary research in geometry and topology.

• Algebraic Geometry
• Topology
• Low-Dimensional Topology
• +3 more

Emilie Carretier is a Professor at Aix-Marseille University (AMU) , affiliated with the Procédés Membranaires research team. Her work focuses on membrane separation technologies, particularly for industrial applications in pharmaceuticals, water treatment, and nuclear waste management. Research Interests : Membrane processes (pervaporation, reverse osmosis), solvent regeneration, radioactive effluent treatment, catalyst recovery, and industrial sustainability. Publications highlight advancements in ceramic membranes, VOC removal, and membrane aging studies, with applications in pharmaceuticals, microelectronics, and nuclear industries. Laboratory : Active within the M2P2 research center, specializing in membrane process innovation for complex industrial matrices.

• Membrane Separation
• Chemical Engineering
• Environmental Engineering
• +3 more

Mathieu Sauthier is a Professor at the University of Lille, affiliated with the National School of Chemistry of Lille and the Unit of Catalysis and Solid State Chemistry (UCCS). His research focuses on homogeneous catalysis for organic synthesis, emphasizing atom efficiency, greener chemistry, and polyol valorization. He specializes in carbon monoxide and 1,3-butadiene chemistry, including carbonylative Suzuki couplings, hydroformylation, alkoxycarbonylation, and domino reactions under one-pot conditions. His work targets catalyst improvements for activity (TOF), selectivity, and lifetime (TON) while minimizing synthetic steps. 2011–Present: Professor, University of Lille 2002–2011: Assistant Professor, University of Lille 2001–2002: Postdoctoral Researcher, University of Amsterdam 1998–2001: Ph.D. in Homogeneous Catalysis, University of Rennes 1997–1998: Master’s in Porphyrin Synthesis, University of Burgundy His research portfolio includes innovative approaches to domino carbonylative reactions for constructing complex molecules, selective 1,3-butadiene etherification, and nickel-catalyzed hydroalkoxylation for agro-based polyol valorization. He has contributed to nonconventional reaction media in catalysis, such as biphasic aqueous systems and ionic liquids, and has co-authored book chapters on carbohydrate chemistry and C-1 building blocks in organic synthesis. The trends in his publications highlight sustainable methodologies using nickel and palladium catalysts for bioresource conversion (e.g., lignin, sorbitol, glycerol), with a strong emphasis on atom economy and clean reaction conditions. His work spans catalyst design, mechanistic studies, and industrial applications. Professor Sauthier is based at the National School of Chemistry of Lille, Scientific City, Building C7, France. He is part of the UCCS unit, a collaborative research environment associated with CNRS (UMR 8181) and partners like Universiteit van Amsterdam. His laboratory, CASECO (Catalysis and Eco-Compatible Synthesis), drives innovations in greener chemistry.

• Homogeneous catalysis
• Eco-compatible synthesis
• Atom efficiency
• +3 more

Dr. Shrihari Sridharan is an Associate Professor at the School of Mathematics, Indian Institute of Science Education and Research Thiruvananthapuram, India. He earned his Ph.D. from the University of Manchester, UK, and an M.Sc. from Anna University, Chennai. His academic career includes prior roles as Assistant Professor at Chennai Mathematical Institute (2008–2014) and Senior Lecturer at Indian Institute of Technology Guwahati (2007–2008). Education: Ph.D. - University of Manchester, UK M.Sc. - Anna University, Chennai Dr. Sridharan’s research focuses on the intricate analysis of complex dynamical systems, particularly holomorphic non-invertible systems on the Riemann sphere. His work spans Julia sets of polynomials/rational functions, holomorphic correspondences , finite rational semigroups , and ergodic theory , with a strong emphasis on geometric measure theory and hyperbolic geometry. His publications reveal a trajectory in mathematical physics and operator theory , especially addressing Sinai-Ruelle-Bowen measures , spectral triples , and stability theory . Key themes include the interplay between fractal geometry and dynamical systems.

• Complex Dynamical Systems
• Holomorphic Correspondences
• Julia Sets
• +9 more