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Jacques Gautier is an Assistant Professor in Geovisualization at LASTIG, part of the French National Geographic Institute (IGN France) since September 2020. He is a member of the GEOVIS research team focusing on advanced geovisualization techniques for spatio-temporal data analysis. Prior to his current position, he served as a Postdoctoral Researcher at LASTIG working on the Urclim European project, developing geovisualization methods for climate data in urban environments. His educational background includes a PhD in Geography from Université Grenoble Alpes (2015-2018), where his dissertation focused on "GrAPHiST: An exploratory analysis approach for identifying the dynamics of spatio-temporal phenomena," and an Engineering degree in Geographical Information Science from ENSG (2009-2012). Dr. Gautier's research focuses on innovative approaches to visualize complex spatio-temporal data across multiple domains. His expertise spans meteorological data visualization, epidemiological data visualization, 2D/3D geovisualization techniques, and exploratory data analysis of spatio-temporal phenomena. He has developed specialized methods for identifying cyclic patterns in time-series data, visualizing uncertainty in ensemble forecasting systems, and creating interactive visualization environments for domain experts in urban planning, public health, and emergency response. Analysis of Dr. Gautier's publication record reveals a consistent focus on developing visualization techniques that bridge theoretical advances with practical applications. His work spans urban climate analysis, pandemic response (particularly during COVID-19), and mountain rescue operations. A distinctive aspect of his research is the integration of harmonic analysis with visual exploration to identify cyclic patterns in spatio-temporal data, as demonstrated in his GrAPHiST framework. Dr. Gautier has been actively involved in several significant research projects including ORACLES (focusing on ensemble forecasts of marine submersion), Urclim (aiming to develop integrated Urban Climate Services), and Choucas (an interdisciplinary project to assist mountain rescue operations). These projects highlight his ability to translate visualization research into practical decision-support tools for critical situations. As a member of the GEOVIS research team, Dr. Gautier contributes to advancing geovisualization methodologies through both theoretical development and practical implementation. His work on mixed temporal diagrams, helical time representations, and uncertainty visualization has provided new approaches for exploring complex spatio-temporal datasets across multiple disciplines.

• Meteorological data visualization
• Epidemiological data visualization
• 2D/3D Geovisualization
• +2 more

Hugues Aschard is a Principal Investigator and Structure Manager at the Pasteur Institute in Paris, where he leads research in statistical genetics, microbiome analysis, and computational genomics. He is the principal investigator of the MicMat project, the EpiGenCOV Consortium, and several bioinformatics software initiatives including JASS, RAISS, and MGMM. Research Interests: Statistical and computational methods in genetics Genome-wide association studies (GWAS) Gene-environment interactions Microbiome and host genetics in inflammatory bowel disease Genetic epidemiology of infectious diseases like COVID-19 Development of open-source tools for multi-trait and summary-statistic analysis Recent Research Trends: His recent publications and projects emphasize integrative genetic modeling, multi-trait analysis across diverse populations, and the development of novel computational methods to handle missing data and improve SNP discovery. His work bridges statistical innovation with biological and clinical applications in complex diseases. Scientific Contributions: Development of JASS, RAISS, and MGMM software tools Leadership in large-scale consortia like EpiGenCOV Advancing methods for cross-ancestry genetic studies Advising and Collaboration: He supervises multiple PhD students and postdoctoral fellows, including Christophe Boetto, Antoine Auvergne, and Lucas Chataigner. He collaborates with major institutions such as APHP and CNRGH. His team includes research engineers and administrative staff, indicating an active and well-supported research group. Laboratories and Teams: He is a key member of the Biomaterials and Microfluidics team at the Pasteur Institute, where he contributes to interdisciplinary research involving Bayesian decision processes and genetic modeling.

• Statistical Genetics
• Genome-Wide Association Studies (GWAS)
• Microbiome Research
• +7 more

Lou Safra is Assistant Professor in political psychology at the Center for Political Research (CEVIPOF) of Sciences Po , Paris, and co-directs the Evaluation of Democracy Research Group at the Laboratory for Interdisciplinary Evaluation of Public Policies (LIEPP) . She is also associate researcher at the Institut d’Études Cognitives (École Normale Supérieure, Paris), bridging political science with cognitive neuroscience. Education: PhD in Cognitive Science, École Normale Supérieure, Paris (2017) Research Interests: Lou Safra investigates the cognitive mechanisms underlying social and political behaviour , focusing on leader choice and cooperation . She adopts an ecological and evolutionary perspective to understand inter-individual differences across space and time. Her methodological toolkit includes behavioural experiments , social surveys , computational modelling , and cultural artefact analysis such as paintings and books. Publication Trends: Her recent work (2020–2024) explores how early-life adversity shapes trust and authoritarian preferences , how cultural evolution influences concepts like love in literature, and how public opinion on defence issues evolves during the Ukraine war . Studies appear in high-impact journals spanning political science , psychology , behavioural economics , and cultural evolution . Scientific Awards & Funding: No specific awards or fellowships are listed in the provided text. Advising & Grants: No named students or specific grant details are provided in the text. Labs & Teams: She is affiliated with CEVIPOF–Sciences Po , LIEPP , and the Laboratoire de Neurosciences Cognitives & Laboratoire de Neurosciences Cognitives et Computationnelles at ENS, indicating active collaboration across political science, cognitive neuroscience, and computational modelling teams.

• Political Psychology
• Cognitive Science
• Social and Political Behavior
• +3 more

Sidonie Christophe is a Senior Researcher (Directrice de Recherche, DR1) at UMR LASTIG, a joint research unit of Université Gustave Eiffel, IGN-ENSG, and EIVP. She serves as co-director of the LASTIG laboratory and leads research in geovisualization, map design, and interactive spatial data exploration. She also holds a part-time advisory role (60%) at the French Ministry of Higher Education and Research in the domain of digital technology, environment, climate, and sustainable urban development. PhD in Geographic Information Sciences Senior Researcher, DR1, MTECT Co-Director, LASTIG Laboratory (since 2021) Former Team Leader, GEOVIS (Geovisualization, Interaction, and Immersion) Advisor, Environment and Urban Climate, French Ministry of Higher Education & Research Her research centers on innovative methods for 2D/3D and nD geospatial data visualization, with a focus on enabling spatio-temporal understanding through visual and non-visual spatial thinking. Her work integrates principles from geographic information science, human-computer interaction, and computer graphics. Key areas include urban climate visualization, tactile and augmented reality for accessibility, expressive cartographic rendering, and cognitive aspects of map design. She investigates how aesthetic and semiotic choices impact map comprehension and utility. The 15 most recent publications reflect a strong trend in interactive and accessible geovisualization, particularly for urban and environmental applications. Topics include neural map style transfer, 3D urban climate analysis, tactile maps for the visually impaired, augmented reality in geography, and visual analytics for crisis and climate data. There is a consistent emphasis on user-centered design, interdisciplinary integration, and the development of tools for decision-making under uncertainty. Scientific Recognition and Service: Invited speaker at major conferences (IEEEVIS, AGILE, ICC, CPGIS) Co-organizer of international workshops (e.g., GeoVIS, ISPRS AR/VR sessions) Leader of national research projects (ANR ORACLES, ANR ACTIVmap, ANR ECOCIM) Recipient of international mobility grants (AMICI I-SITE FUTURE) Contributor to national glossaries and research strategy (e.g., French photogrammetry glossary) Advising and Grants: Sidonie Christophe actively supervises PhD students and postdoctoral researchers, including Markie Jiang, Maria-Jesus Lobo, and Alexandre Mielniczek. She leads or participates in multiple funded research projects such as ANR ORACLES (marine flooding visualization), ANR ACTIVmap (tactile 3D maps), and ANR ECOCIM (eco-design of city information models). Her advisory role at the MESR involves shaping national research strategy in digital and environmental sciences. Labs and Research Teams: She is a core member of the GEOVIS team (Geovisualization, Interaction, and Immersion) at LASTIG and previously served as its leader. As co-director of LASTIG, she plays a central role in the leadership and strategic direction of the entire laboratory, which comprises over 100 researchers across four teams: ACTE, GEOVIS, MEIG, and STRUDEL.

• Geographic Information Sciences
• Geovisualization
• Map Design
• +12 more

Hanan Samet is a Distinguished University Professor in the Computer Science Department at the University of Maryland, College Park. He holds affiliations with the Center for Automation Research and the Institute for Advanced Computer Studies (UMIACS). His academic journey includes a PhD from Stanford University (1975) in Computer Science, following degrees in Engineering (UCLA) and Operations Research/Computer Science (Stanford). Affiliations: University of Maryland, College Park (since 1975) Roles: Professor, Founding Editor-in-Chief of ACM Transactions on Spatial Algorithms and Systems, Founder of ACM SIGSPATIAL Samet's research focuses on spatial data structures, spatial databases, GIS, computer vision, and information retrieval. His seminal work includes the Foundations of Multidimensional and Metric Data Structures , an award-winning book addressing spatial indexing and query optimization. He pioneered frameworks like NewsStand for map-based news exploration and Coronaviz for pandemic visualization. Key contributions span spatial synonyms for approximate search, SAND spatial browser for digital government, and trajectory analysis systems for aviation safety and urban mobility. His work bridges theory and practice, influencing databases, graphics, and geographic systems. Education: B.S. Engineering, UCLA M.S. Operations Research, Stanford M.S./Ph.D. Computer Science, Stanford Samet has advised numerous students and led NSF-funded projects on spatio-textual data, similarity search, and spreadsheet analysis. His honors include the ACM Paris Kanellakis Award (2011), IEEE Wallace McDowell Award (2014), and UCGIS Research Award (2009). His labs and teams focus on spatial algorithms, visualization, and GIS applications. Notable projects include VASCO (spatial index demo), MARCO (image databases), and CHOLERA (disease tracking).

• Spatial Data Structures
• Geographic Information Systems (GIS)
• Computer Vision
• +3 more

Marion Leroutier is an Assistant Professor at CREST-ENSAE in Paris, specializing in applied environmental economics. She focuses on ambient air pollution and climate change , particularly their societal, economic, and health impacts. Her work explores the determinants of support for green policies , gender disparities in carbon footprints , and economic costs of pollution . Affiliated with the IFS , Misum , and IPP as a research affiliate Teaches Introduction to Economics (Bachelor) and Empirical Environmental Economics (Master) at ENSAE Her research integrates granular data on individual behavior with environmental metrics, revealing how socioeconomic factors and preferences shape emissions. Recent studies quantify the economic benefits of aligning air quality with WHO guidelines and the health potential of cycling. She has presented at conferences such as EAERE , LSE Environment Week , and Misum Conference , with media coverage in The Guardian , The Economist , and Le Monde . For collaboration or inquiries, contact her directly at marion.leroutier@ensae.fr .

• Applied Environmental Economics
• Ambient Air Pollution
• Climate Change
• +4 more

Martial Mermillod is a Full Professor at Grenoble Alpes University , directing the Laboratoire de Psychologie et NeuroCognition (LPNC, CNRS UMR 5105) since 2021. His academic career spans institutions like Clermont-Ferrand 2 and Liège University, with a focus on Neural Computation, Psychology, and Cognitive Neuroscience . As a holder of MIAI 3IA Chairs (2019-2023, 2023-2025) and CNRS delegations, he bridges AI and human cognition. PhD in Cognitive Sciences (University of Liège, 2004) Post-doctoral research at LPNC (2004-2005, Fyssen Foundation) Master's DEA (University of Savoie, 2000) His research explores bio-inspired AI , particularly lifelong learning in neural networks, the Predictive Brain Hypothesis (top-down cognitive modulation), and the role of spatial frequencies in threat detection . He has developed models for robust AI against adversarial attacks, inspired by human brain mechanisms. Key contributions include: 15+ peer-reviewed articles (2015-2023) on AI, emotion recognition, and cognitive neuroscience Grants from MIAI 3IA , CEA , ANR , and NVIDIA Leadership in national and international projects (MIT MISTI, Franco-German AI4HP) He leads the Vision & Emotion team at LPNC and has held administrative roles including UGA Council member and co-founder of the Institut Carnot Cognition steering committee.

• Neural Computation
• Psychology
• Cognitive Neuroscience
• +4 more

Julien Perret is a senior researcher at the National Institute of Geographic and Forest Information (IGN) in France, affiliated with the LASTIG laboratory and STRUDEL research team. His work spans geographical information science, urban dynamics, and historical cartography. Current Affiliation: National Institute of Geographic and Forest Information (IGN) Research Team: LASTIG, STRUDEL Academic Rank: Senior Researcher (Directeur de Recherche) Education Habilitation (HDR) in Geographical Information Science, Université Paris-Est (2016) PhD in Computer Science, Université Rennes 1 (2006) Engineering Degree in Computer Science, INSA Rennes (2002) Research Interests Perret's research focuses on urban dynamics through computational approaches, including agent-based modeling and 3D urban simulation . He investigates historical cartographic data like the Napoleonic land registry and Cassini Carte de France to understand long-term urban evolution. His work integrates geospatial data with epidemiological modeling using digital twins, particularly for pandemic simulations. Scientific Contributions Key publications include: 2025: Building change models for urban densification studies 2024: Historical map vectorization benchmarks 2017: Scalable point cloud management systems 2015: 3D analysis of urban regulation impact 2005: Procedural geometry modeling with FL-systems Advising and Collaborations Perret has supervised multiple PhD students and collaborated on projects like SoDUCo (1789-1950 Paris urban dynamics) and iSpace&Time (4D GIS for city modeling). He contributes to open-source GIS tools like GeOxygene .

• Geographical Information Science
• Urban Dynamics
• 3D Urban Simulation
• +6 more

Thomas Devogele is a Professor at the University of Tours, France, where he serves as Head of the Computer Science Department within the Faculty of Sciences and Technology. He is also Head of the Master 2 in IT and apprenticeships program and deputy director of LIFAT (Tours Fundamental and Applied Computer Science Laboratory). His academic career spans more than two decades, having previously served as an Assistant Professor at the French Naval Academy from 1998 to 2010. His primary research focuses on Geographic Information Systems (GIS), spatio-temporal data mining, and moving object analysis. Dr. Devogele's work specializes in trajectory data-mining, similarity measures between lines or trajectories using Fréchet distance, classification and outlier detection of trajectories, and spatio-temporal database integration. He currently leads research projects DOPAN and PERSONAE. His recent publications (2021-2025) demonstrate an expansion of his research into cycling infrastructure analysis, blockchain applications for business processes, personalized web service recommendations, and health data narratives (particularly tuberculosis in Gabon), while maintaining his core expertise in trajectory analysis and spatial data. His work bridges theoretical computer science with practical applications in transportation, public health, and urban planning. Dr. Devogele has supervised numerous PhD students who have gone on to successful academic and industry careers, including Fournier Sébastien (Assistant Professor at Université de Provence), Noyon Valérie (Leader of GIS department at the city of Niort), and Etienne Laurent (Assistant Professor at Tours University). His teaching responsibilities include Software Engineering, Object-Oriented Programming (Java), Geographic Information Systems, Artificial Intelligence, and Database courses for Computer Science students at the Blois campus. He has made significant contributions to the field through his extensive publication record spanning from 1996 to the present.

• Geographic Information Systems
• Spatio-temporal data mining
• Moving object analysis
• +3 more

Vincent Danjean is an associate professor at Grenoble Alpes University , specializing in parallel computing, high-performance computing, and bioinformatics. He earned his PhD in 2004 from École Normale Supérieure de Lyon under the supervision of Raymond Namyst. Research Interests: Vincent's work spans several critical areas in computational science: Parallel and Distributed Systems: Focus on task-based parallelism and hybrid cluster architectures. Performance Analysis: Development of visual frameworks for analyzing parallel applications. Bioinformatics: Application of computational methods to genetic and genomic data analysis. GPU Computing: Efficient scheduling and work stealing strategies for multi-GPU systems. Reproducible Research: Workflows using Git and Org-mode for scientific transparency. Publication Trends: His publications demonstrate a consistent focus on advancing parallel computing techniques, with significant contributions to GPU scheduling, cache-efficient algorithms, and visualization tools. Recent work includes interdisciplinary applications in genomics and cybersecurity protocols. Contact: vincent.danjean@imag.fr

• Parallel Computing
• High-Performance Computing
• Task-Based Parallelism
• +6 more

Sebastian Grevsmühl, CNRS Research Fellow at the Centre for Historical Research (CRH) and affiliate of the GRHEN (Environmental History Research Group), specializes in the history of science, technology, and the environment with a focus on visual studies. He is based at EHESS in Paris and has held teaching positions at École Normale Supérieure, Paris 1 Panthéon-Sorbonne University, and EHESS since 2023. Key Research Themes: Visual cultures and history of science Environmental history (19th-20th centuries) History of Earth sciences Polar history His work spans global environmental imagery, Cold War legacy projects like ANR Spherographia (history of globes and environmental visualization), and the French Southern Territories project (2020-2023). He led the 2018 PSL project Environmental Humanities in the Age of the Anthropocene and contributed to the 2017 special issue in GEO: Geography and Environment . Scientific awards include the 2013 SFHST prize for best thesis in history of science and technology. His publications analyze environmental visualization trends, from Antarctic ozone hole metaphors to space-age Earth imagery.

• History of Science
• History of Technology
• Environmental History
• +4 more

Kevin P. Fiori, M.D., M.P.H., M.S., is a faculty pediatrician at Montefiore Medical Center and Albert Einstein College of Medicine in the Bronx, New York. His scholarly work focuses on integrating social-determinants screening, community-health-worker interventions, and data-driven precision social medicine into pediatric primary-care workflows to advance health equity. Research Interests: Community pediatrics & social determinants of health Implementation science for health-equity interventions AI-enabled precision social medicine Housing & health residency curricula Patient-referral system optimization Across 58 peer-reviewed outputs since 2016, Fiori’s publications exhibit a clear trajectory from descriptive social-risk epidemiology to pragmatic implementation trials and AI-augmented screening tools. His 2024-2025 papers collectively push toward real-time analytics dashboards, cross-hospital referral platforms, and predictive models that embed social-risk signals into everyday clinical decision making. Scientific Awards: No specific honors or prizes are listed in the provided source material. Advising & Grants Narrative: While the text confirms an h-index of 12 and 494 citations, it does not enumerate graduate students, mentees, or awarded grant titles; hence these categories remain undocumented in the current extract. Labs & Teams: Fiori leads or collaborates on multiple Bronx-based implementation projects involving community health workers, medical-legal partnerships, and EHR-integrated social-risk screening initiatives, indicating an active inter-disciplinary team infrastructure within the Montefiore health system.

• Community Pediatrics
• Social Determinants of Health
• Health Equity
• +4 more

Diego Nascimento is an Assistant Professor in Statistics at NEOMA Business School. His research focuses on statistical modeling, machine learning, spatio-temporal dependencies, and data visualization, with applications in supply chain management, neurosciences, and industrial projects. He has published in top-tier journals like the Journal of the Royal Statistical Society Series C and Pattern Recognition , collaborating with companies in South America and healthcare institutions. His work bridges theoretical statistics with practical industry challenges, emphasizing Bayesian methods and dynamic models. Key research areas include spatio-temporal modeling, neural data analysis, and optimization techniques. Recent studies involve clinical trials on transcranial stimulation effects and predictive analytics for supply chains during the pandemic. He actively contributes to interdisciplinary projects, combining statistical rigor with real-world applications in healthcare and environmental monitoring. Award-winning research includes advancements in imbalanced classification, safety-stock prediction, and entropy analysis in clinical trials. His collaborative projects reflect a commitment to both academic innovation and industrial relevance, with ongoing work in neuroimaging and supply chain resilience.

• Statistics
• Machine Learning
• Data Science
• +3 more

Joëlle Barido-Sottani is a postdoctoral researcher at École Normale Supérieure (ENS), focusing on developing mathematical models to study diversification processes using phylogenetic analysis. Her research integrates birth-death processes, Bayesian inference, and fossil data to understand evolutionary dynamics. She contributes to software frameworks like BEAST2 and RevBayes , enhancing tools for phylogenetic analysis and phylodynamic studies. Her work bridges evolutionary biology and computational methods, emphasizing methodological advancements in fossil integration and model development. Her research interests include phylogenetic modeling , Bayesian statistical methods , and the application of these techniques to study diversification patterns across species. She has developed computational tools such as FossilSimShiny and EvoPhylo , which facilitate simulations and data preprocessing in evolutionary studies. Her recent work highlights the importance of integrating fossil records with modern species data to improve estimates of historical diversification rates. Over the past few years, her publications have focused on enhancing phylogenetic inference through methodological innovations. For example, her work on the Multi-Type Fossilized Birth-Death model (2025) addresses heterogeneous diversification rates, while her guidelines for MCMC-based Bayesian inference (2024) provide practical frameworks for researchers. She has also contributed to epidemiological applications of phylogenetic models, extending their utility beyond traditional evolutionary studies. Barido-Sottani’s collaborations emphasize open-source software development, enabling broader accessibility to advanced phylogenetic tools. Her teaching efforts, such as organizing virtual workshops like Taming the BEAST , reflect her commitment to advancing computational training in evolutionary biology.

• Phylogenetics
• Bayesian Inference
• Diversification Models
• +3 more

Emmanuel Grenier is an Assistant Professor at NEOMA Business School, specializing in Quantitative Methods and Statistics. He holds a Master's degree in Signal Processing - Statistics and has extensive experience in both academic and applied statistical research. Affiliation: NEOMA Business School (France) Academic Role: Assistant Professor Research Expertise: Bayesian Statistics, Quantitative Risk Analysis, Structural Equation Modeling His research focuses on interdisciplinary applications of statistics in business, healthcare, and food safety. Key contributions include: Developing Bayesian frameworks for risk assessment Advancing Partial Least Squares Path Modeling (PLS-PM) Consulting in Statistical Process Control for industry partners Recent publications demonstrate trends in: Bayesian networks for operational risk Behavioral prediction models Food safety epidemiology He has also contributed to statistical education through book chapters on: Descriptive statistics ANOVA techniques Regression analysis

• Quantitative Methods
• Statistics
• Statistical Process Control
• +7 more