Mohamed Amara is a full-time Professor at the University of Pau and the Pays de l'Adour (UPPA) since 1996, affiliated with the Laboratory of Mathematics and their Applications (CNRS-UMR 5142). He served as its director (1999-2007), Director of the Doctoral School of Exact Sciences (ED211, 2007-2008), and UPPA's Scientific Council Vice-President (2008-2012). He has been UPPA's President since 2012 (re-elected until 2020). Education: Mathematics from University of Algiers (1973), Pierre and Marie Curie University (DEA 1974, Doctorate 1978, State Doctorate 1983) Academic Roles: Research Associate at Ecole Polytechnique (1978-1982), Algerian Electricity and Gas Company (1983-1992), Professor in Algiers (1988-1994), Tunis (1994-1995), and Associate Professor at Paris 6 (1995-1996) His research focuses on numerical simulation of partial differential equations for environmental/energy applications, including mechanics in porous media (petroleum engineering, geoscience), fluid mechanics (aerodynamics, estuarine hydrodynamics), non-Newtonian flows, and wave propagation. Articles highlight expertise in discontinuous Galerkin methods, Helmholtz problems, finite element discretization, and multiphysics systems. He managed 20 doctoral theses and led national mathematics programs at ANR (2007-2011). He chairs the Cocktail association for higher education IT systems and collaborates with INRIA's Magique 3D team (since 2006).
Raphaël Beuzart-Plessis is a CNRS Research Fellow affiliated with Aix-Marseille University and the Institute of Mathematics of Marseille (I2M) at Luminy Campus. He specializes in advanced areas of mathematics, including harmonic analysis, automorphic forms, representation theory, and number theory, with a focus on unitary groups and conjectures like Gan-Gross-Prasad. His work bridges algebraic geometry, differential geometry, and operator theory. Arithmetic, Geometry, Logic and Representations Group (AGLR) 2022-2027 ERC RELANTRA grant recipient Research interests span automorphic representations, L-functions, periods of automorphic forms, and harmonic analysis on real spherical spaces. He works extensively on the local and global Gan-Gross-Prasad conjectures, endoscopy, and supercuspidal representations. His recent publications analyze Plancher1el formulas, spherical characters, and congruences of automorphic forms. His 15 most recent publications (2014-2022) address topics such as the Gan-Gross-Prasad conjecture, Jacquet-Rallis's fundamental lemma, and the Asai Rankin-Selberg integrals. These works reflect his expertise in automorphic forms, representation theory, and number theory, often involving collaborations with leading mathematicians. 2016-2017 Peccot Prize for young mathematicians under 30 2022-2027 ERC RELANTRA grant for research in automorphic forms and representation theory Beuzart-Plessis has no listed students or laboratory teams but participates in the AGLR-RGR (Reduction Group Representations) team and has been an invited speaker at the 2022 International Congress of Mathematicians. His career includes guest lectures at Collège de France, including four sessions on Period factorizations and Plancherel formulas in 2017.
Caterina Urban is a Research Scientist (Chargé de Recherche) at INRIA and École Normale Supérieure (ENS) in Paris, France. She is a member of the INRIA research team ANTIQUE (ANalyse StaTIQUE), where she focuses on formal methods and static analysis. Prior to her current position, she was a postdoctoral researcher at the Chair of Programming Methodology, led by Peter Müller at ETH Zurich. Dr. Urban holds a PhD in Computer Science (2015) from École Normale Supérieure, Paris, where she worked under the joint supervision of Radhia Cousot and Antoine Miné. She also earned a Master's degree (2011) and Bachelor's degree (2009) in Computer Science, both with full marks and honors (summa cum laude) from the Università degli Studi di Udine, Italy. Her research interests span the whole spectrum of formal methods with a focus on developing rigorous methods and tools to enhance the reliability of computer software, particularly data science applications. Her main area of expertise is static analysis based on abstract interpretation. Dr. Urban is currently engaged in several research projects including Lyra (focusing on data science software), Libra (fairness certification for neural networks), and SAIF (addressing safety concerns in machine learning-based systems). Dr. Urban's recent publications demonstrate her expertise in applying abstract interpretation to diverse areas including machine learning, data science, program verification, and security. Her work bridges theoretical foundations with practical applications, particularly in ensuring the reliability and trustworthiness of increasingly critical data science and machine learning systems. She has received recognition for her work through invitations to serve on program committees for major conferences including OOPSLA 2026, PLDI 2026, and CAV 2026. She is also the general chair of iFM 2025 in Paris. Dr. Urban actively mentors the next generation of researchers, supervising PhD students and postdoctoral researchers. She teaches courses on abstract interpretation and its applications at the Master Parisien de Recherche en Informatique (MPRI) and various international summer schools. She has developed several open-source software tools including Lyra (a static analyzer for data science applications), Libra (for fairness certification of neural networks), and Typpete (SMT-based static type inference for Python).
Tom Schrijvers is a Professor at the Department of Computer Science in the Faculty of Engineering Science at KU Leuven, Belgium. He leads the Programming Languages Group within the Declarative Languages and Artificial Intelligence (DTAI) research group. His research focuses on programming languages, particularly functional and logic programming, with special emphasis on Haskell, type systems, and algebraic effects. His research interests include: Functional Programming, especially Haskell Type Systems and Type Theory Algebraic Effects and Handlers Logic Programming, particularly Prolog Constraint Programming Domain-Specific Languages Programming Language Theory Prof. Schrijvers' recent research has focused on effect systems, staged programming, and language composition. His work on algebraic effect handlers has been particularly influential, providing new insights into how effects can be modularly composed and handled in functional languages. He has also made significant contributions to the understanding of type classes and their implementation in Haskell. His publications demonstrate a consistent focus on practical applications of programming language theory, with work spanning from foundational type theory to applied domain-specific languages for areas like fluorescence microscopy. His research often bridges the gap between theoretical programming language concepts and practical implementation concerns. Prof. Schrijvers has supervised numerous PhD students to completion, including Pieter Wuille, Benoit Desouter, George Karachalias, Steven Keuchel, Amr Saleh, Alexander Vandenbroucke, and Ruben Pieters. He currently supervises PhD students Klara Mardirosian, César Santos, Gert-Jan Bottu, Koen Pauwels, Birthe van den Berg, and Roger Bosman. His research group has received funding from various sources including EU projects like GRACeFUL. The Programming Languages Group at KU Leuven, which he leads, focuses on functional (Haskell) and logic (Prolog, Datalog, CLP) programming languages, as well as general programming language theory. The group has been active in numerous research projects and collaborations across Europe.
National Institute of Science and Technology (INSA)France
Thomas Grenier is an Associate Professor in the Department of Electrical Engineering at INSA Lyon and a member of the CREATIS laboratory (CNRS UMR 5220, INSERM U1294). He obtained his HDR (Habilitation à Diriger des Recherches) in 2023 and his Ph.D. in Image Processing from INSA Lyon in 2005. His research focuses on medical image segmentation, clustering, and filtering using feature space, scale-space, and deep learning approaches. Doctoral School: EEA (Electronics, Energy, and Automatics) Research Affiliation: CREATIS Lab (CNRS/INSERM/INSA Lyon/Université Lyon 1/Université Jean Monnet Saint-Etienne) He has contributed to 20 papers and co-supervised 5 PhD students, including Léo Dumortier and Florent Guépin. Grenier leads the annual Deep Learning for Medical Imaging (DLMI) school, which he co-founded, and has organized five editions across Lyon and Montreal since 2019. The school emphasizes practical deep learning applications in medical imaging for participants of all expertise levels. His work spans interdisciplinary domains such as medical imaging , deep learning , and image processing , with recent publications on generative AI for MRI synthesis, explainable networks, and segmentation of neurological pathologies in preclinical models. He manages pedagogical platforms, coordinates LabEx PRIMES project activities, and oversees lab room infrastructure for 200 hours/year across 10 training programs. Grenier also leads the MUSIC transversal project on Multiple Sclerosis since 2019.
Florence d'Alché-Buc is a Professor at Télécom Paris (Institut Polytechnique de Paris), holding an Isaac Newton Institute Simons Chair (2025) and leading the Data Science and Artificial Intelligence for Digitalized Industry & Services (DSAI) Chair. She heads the Image, Data, and Signal Department and is part of the Signal, Statistics, and Learning (S2A) team at the LTCI laboratory. Her research focuses on machine learning, bioinformatics, and industrial applications, emphasizing kernel methods, structured prediction, and reliable AI. Education: Previously a professor at Université d’Evry and deputy director of the IBISC lab. Co-director of the Paris-Saclay Data Science Master and creator of specialized AI programs (e.g., Certificate of Specialized Studies in AI). Research highlights include contributions to operator-valued kernel methods, graph prediction, and frugal AI. She actively collaborates with institutions like Inria, École Polytechnique, and industry partners (Airbus, Engie, etc.). Notable roles: Scientific director of Digicosme Labex, Ellis Fellow, and board member of IVADO (Montreal). Her recent work addresses AI explainability, robustness, and sustainability, including projects on interpretable networks and energy-efficient models.
Conrad Watt is an Assistant Professor at Nanyang Technological University (NTU), Singapore , specializing in WebAssembly, formal verification, and concurrency. He previously served as a Research Fellow at Peterhouse, University of Cambridge, and earned his PhD under Peter Sewell. Co-chair of the W3C WebAssembly Community Group Active in WebAssembly standards development, including concurrency specifications Developed mechanizations in theorem provers like Isabelle/HOL Collaborator with industry (wasmtime engine) and academic teams on verification tools Research Focus: Formal verification of low-level languages, concurrency models, and security mechanisms for WebAssembly. His work bridges theoretical rigor with practical applications, including WasmRef-Isabelle and threads projects. Recent Trends: 2025 publications explore separation logic automation and concurrency experiments, while 2024-2023 work emphasizes specification toolchains (SpecTec), verified interpreters, and memory-safe execution techniques. Scientific Awards ACM Doctoral Dissertation Award Honorable Mention EAPLS Best Dissertation Award Advising: Supervises PhD students Qiyuan Xu and Antanas Kalkauskas. Collaborates with researchers like Philippa Gardner and Jean Pichon-Pharabod.
Joseph Salmon is a Senior Researcher at Inria (Team Iroko) in Montpellier, working with the Pl@nNet team. He previously served as a Full Professor at Université de Montpellier from 2018 to 2024 and was a Junior member of the Institut Universitaire de France (IUF) from 2021 to 2024. His research focuses on machine learning, optimization, and data science, with applications in citizen science and crowd-sourcing. He leads the doctoral program 'Statistics and Data Science' at Université de Montpellier. Education: Ph.D. in Statistics and Image Processing (2010) from Université Paris Diderot, under supervision of Dominique Picard and Erwan Le Pennec. Earlier roles include Assistant Professor at Telecom Paris (2012-2018), postdoctoral work at Duke University (2011-2012), and visiting positions at UW Statistics (2018) and the Simons Institute (2022). Research interests span isotonic regression, convex optimization algorithms (e.g., PAVA), statistical learning theory, and applications in environmental AI (Pl@ntNet). His work bridges theory and practice, emphasizing scalable algorithms for high-dimensional problems. Key contributions include advancements in PAVA convergence analysis, Slope penalty optimization, and peer-reviewed frameworks for crowdsourced data. Grants include ANR VITE (variable importance/explainability) and CaMeLOt (Cooperative Machine Learning Optimization). Labs/Teams: Active in Inria's Iroko team and collaborates with Pl@ntNet's AI development. Maintains the STATLEARN conference and ML-MTP initiative in Montpellier.
Ana Paulina Lee is an Assistant Professor of Writing and Digital Humanities in the Comparative Literature, English, and Creative Writing Department at the American University of Paris. She joined AUP in 2025 after teaching Latin American literature and culture at Columbia University for eight years and serving as a Mellon Postdoctoral Fellow at Tulane University. Her interdisciplinary scholarship bridges literature, history, law, and urban studies with particular focus on marginalized narratives in the Americas. Ph.D. from University of Southern California M.A. from New York University B.A. from Binghamton University Professor Lee's research examines how stories—archival, fictional, oral—shape legal imagination, social life, and urban experience in the Americas. She specializes in the intersections of magic, law, and literature in Latin America, with particular focus on Asian and African diasporas in Brazil. Her work traces how narrative functions as both historical record and catalyst for social transformation, exploring themes of slavery, emancipation, colonial legacies, and urban memory. She approaches these topics through interdisciplinary lenses combining literary analysis with histories of labor, migration, and performance. Lee's recent publications reveal a consistent focus on marginalized narratives and their impact on social structures. Her scholarship connects legal history with cultural production, showing how magical thinking and narrative practices shape urban spaces and social relations. Works like 'Urban Sorcery, Segregation, and Spectacle in Twentieth-Century Rio de Janeiro' and 'Black Magic City' demonstrate her innovative approach to understanding the relationship between occult logics and legal frameworks in Brazilian contexts. Her research on diasporic communities, particularly Chinese and Japanese experiences in Latin America, contributes significantly to transnational and comparative race studies. David B. Larson Fellowship in Health and Spirituality, Kluge Center, United States Library of Congress (2025-2026) National Endowment for the Humanities Fellowship (2025) Social Sciences Research Council, Inaugural Recipient of Interdisciplinary Projects in the Social Sciences (2020-2023) Institute for Ideas and Imagination Fellowship, Columbia University in Paris, France (2021-2022) Provost's Tsunoda Senior Fellowship, Visiting Scholar, Waseda University, Tokyo, Japan (2019) Heyman Center Fellow, The Heyman Center for the Humanities, Columbia University (2017-2018) Fulbright, Lisbon, Portugal (2013-2014) Professor Lee's scholarly activities have been generously supported by major research grants from the National Endowment for the Humanities, the Social Sciences Research Council, and the Library of Congress. Her work demonstrates a commitment to interdisciplinary approaches that bridge humanities and social sciences, particularly through projects examining intersections of race, migration, and cultural production in the Americas. Her publication 'Socially Engaged Oral History Pedagogy Amid the COVID-19 Pandemic' indicates a strong commitment to innovative teaching methods and community-based research. While specific details about current advisees aren't provided, her research program suggests engagement with graduate students interested in diaspora studies, urban history, and literary-cultural analysis. Though not explicitly mentioned in the available information, Professor Lee's research on urban spaces, magic, and law in Brazil likely involves collaborative work with scholars across disciplines. Her participation in centers like the Institute for Ideas and Imagination at Columbia University suggests engagement with interdisciplinary research communities focused on global cultural production and social transformation. Her work contributes to ongoing conversations about how narrative practices shape legal frameworks and social structures in the Americas, particularly regarding racial formation and diasporic experiences.
Nicolas Peyre is a Lecturer and Researcher in Information and Communication Sciences at the University of Toulouse Capitole, where he is affiliated with the Institute of Space, Territorial, Cultural and Communication Law (IDETCOM). He serves as Director of Studies for the Master 2 program in "Administration and Communication of Cultural Activities." His teaching includes Diplomacy of Influence (M2), History of Cultural Policy (M2), Business Intelligence (M1), Communication Law (L3), and Management of Cultural Events and Festivals (M2). Nicolas Peyre's research centers on cultural diplomacy and influence , examining how institutions like the French Institute and Alliance française function as instruments of soft power. His work explores the globalization of museum brands (particularly the Louvre and Centre Pompidou), the cultural and creative industries , and business intelligence in cultural contexts. He investigates how French cultural policy adapts to globalization through both traditional networks and digital platforms, with special attention to diplomatic applications. His recent publications reveal a strong focus on museum branding in international contexts , particularly analyzing the Centre Pompidou Málaga as a case study of cultural diplomacy. He critically examines how social media platforms like Instagram both support and challenge the globalization of museum brands, and connects sport, communication, and diplomacy to analyze how sporting events serve as vehicles for cultural influence. His work spans academic journals, book chapters, and critical commentary on current cultural partnerships. Nicolas Peyre actively contributes to academic discourse through his role as a consulting editor for The Journal of Arts Management, Law, and Society , membership on the editorial board of Hermès, La Revue (CNRS), and as co-founder of Lélia Productions. He has organized numerous international conferences and seminars on cultural diplomacy and influence, including the "Culture & Influence" research seminars at Toulouse Capitole University and co-organizing major international events on French cultural diplomacy.
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)
Bruno Deffains serves as Professor of Economic Sciences at Paris-Panthéon-Assas University, where he directs the Master's program in Law and Economics, the Center for Research in Economics and Law (CRED), and the Digital Transformation of Law and Legaltech University Diploma. His academic leadership extends to the Yale-ESSEC-Paris 2 Summer School in Law and Economics and the Legal Security Index initiative. Affiliated with the Faculty of Law, he bridges economic theory with legal practice through extensive research and institutional engagement. Doctor of Economic Sciences (1991) Accreditation to Supervise Research (Habilitation à Diriger des Recherches, 1993) Deffains' research centers on the Economics of Law, examining how legal frameworks influence economic outcomes across diverse domains. His work in Public Economics investigates tax compliance and redistribution mechanisms, while Industrial Economics research analyzes competition policy and market regulation. Recent scholarship explores digital transformation's impact on legal practice, compliance systems, and the cognitive functions of law. He employs rigorous economic modeling to dissect liability rules, dispute resolution mechanisms, and the comparative performance of legal traditions, consistently linking theoretical insights to real-world policy challenges in antitrust, corruption, and judicial efficiency. His publication trajectory reveals deepening engagement with contemporary legal-economic intersections, evolving from foundational work on liability and legal origins toward cutting-edge analysis of digitalization and compliance. The consistent thread across his oeuvre is the application of microeconomic principles to institutional design, with increasing emphasis on behavioral dimensions and technological disruption in legal systems. Institut Universitaire de France Fellowship (2013) As academic director of the Law and Economics Master's program and CRED research center, Deffains oversees numerous doctoral theses and research initiatives. His role in the trilateral Summer School with Yale Law School and ESSEC cultivates international scholarly exchange, while leadership in the French Association of Law and Economics and European Association of Law and Economics demonstrates sustained commitment to field-building. External responsibilities include chairing the Commercial Practices Examination Commission and advising the National Consultative Commission on Human Rights, reflecting policy-relevant scholarship grounded in empirical economic analysis. Deffains leads the Center for Research in Economics and Law (CRED), a prominent research unit specializing in institutional analysis of legal systems. Through the Summer School in Law and Economics and Digital Transformation initiatives, he fosters interdisciplinary collaboration between economists, legal scholars, and practitioners. His directorship of the Legal Security Index project connects academic research with practical legal metrics development, while involvement with the Club des Juristes' digital pole positions him at the forefront of technology-law convergence debates.
IIham ALLOUI is a permanent Lecturer in Computer Science (CNU 27 section) at Savoie Mont Blanc University since 1998, based at Polytech Annecy-Chambéry. She leads research in intelligent software systems at the LISTIC laboratory. Her roles include managing the Competency-Based Approach (CBA) mission for Polytech and overseeing the Pix Digital Skills project for the university. Education : PhD in Computer Science from Université Grenoble II (1992-1996), DEA in Computer Science from Université Grenoble II (1989-1990). Research Themes : Focuses on evolving software systems, model-driven engineering, distributed intelligent systems, and adaptive architectures using formal methods like modal logic, process algebra, and Markov Decision Processes. Her recent work (2015–present) involves designing adaptive 'Wise Object' frameworks for autonomous learning in software systems, with applications in fraud detection and microservice optimization. She co-supervised multiple theses on software architecture refinement, remodularization, and knowledge representation. Grants & Projects : Led or contributed to projects such as OpenCloudware (FUI), EcoCitoyen (AAP), and McWO/COMDA (USMB AAPs), addressing cloud architectures, home automation modeling, and educational innovation. Teaching : Specializes in model-driven engineering, software quality, and formal programming methods. Initiated educational projects like Reflexpro and APC By Karuta to enhance student professionalization and skill-based learning.
Julia Chamot-Rooke is a Principal Investigator and Researcher at the Institut Pasteur in Paris, France, affiliated with the Department of Structural Biology and Chemistry and the Mass Spectrometry for Biology unit (UTechS MSBio), a joint CNRS service and research unit (USR2000). She leads multiple projects in advanced proteomics and is the PI for the Institut Pasteur in the European Proteomics Infrastructure Consortium providing access (EPIC-XS). Her research focuses on developing innovative methods in top-down proteomics , cross-linking mass spectrometry , and structural proteomics to study intact proteins, post-translational modifications, and protein complexes. Her work has applications in microbiology, infectious diseases, and host-pathogen interactions. She has developed the ProteoCombiner software to integrate proteomics data for improved proteoform characterization. The recent publications reflect a strong emphasis on structural and functional proteomics , particularly in microbial systems and immune interactions. Trends include the use of advanced mass spectrometry techniques (HDX-MS, cross-linking MS, top-down MS) to investigate protein structure, dynamics, and interactions in pathogens and host systems. There is also a growing focus on software and tool development to enhance data analysis and reproducibility in proteomics. Principal Investigator, EPIC-XS at Institut Pasteur Coordinator, Joint Research Activity on Future and Emerging Proteomics Technologies Lead Developer, ProteoCombiner software She supervises PhD students and research engineers and collaborates widely on projects involving bacterial pathogenesis, immune evasion, and structural biology. Her lab is equipped with state-of-the-art Orbitrap mass spectrometers and participates in transnational access programs, providing cutting-edge proteomics services to the European research community.
Olivier FARGES is a Senior Lecturer and HDR (Habilitation à Diriger des Recherches) holder at the University of Lorraine, affiliated with ENSGSI (École Nationale Supérieure de Géologie et Sciences Industrielles) within the Groupe INP. He serves as Director of Industrial Partnerships at ENSGSI and is part of the LEMTA Laboratory (CNRS-University of Lorraine), focusing on multiphysics and multiscale modeling of heat transfer in complex environments. His academic roles include teaching courses such as Heat and Mass Transfer, Fluid Mechanics, Scientific Computing Modeling, and Renewable Energy. Dr. FARGES holds a Ph.D. in Energy and New R&D (2014) and an Engineering degree in Energy Engineering (2010), both from the École de Mines Albi. His research emphasizes coupled conductive-radiative heat transfer in porous media, thermal property characterization of heterogeneous materials, and Monte Carlo-based computational methods for energy systems. He has contributed to advancements in photovoltaic system modeling, solar thermal power optimization, and urban climate studies. His work bridges theoretical and applied thermal engineering, with applications in sustainable energy systems, material science, and industrial partnerships. Key research themes include radiative transfer modeling, multiphysics simulation frameworks, and the development of innovative tools for thermal property measurement and energy performance assessment.
