جستجوی استاد راهنمای دانشگاهی

Grégory Battمشاهده پروفایل

پژوهشگر

• Systems biology
• Synthetic biology
• Quantitative modeling
• +۱۵ مورد دیگر

Grégory Batt is a Researcher and Head of the InBio joint research group at the Institut Pasteur and Inria Paris. The lab operates at the intersection of wet and dry biology, focusing on systems and synthetic biology with an emphasis on automation, modeling, and real-time control of cellular processes. The team is affiliated with both institutions and hosts a multidisciplinary group of researchers, engineers, and students. The research interests of Grégory Batt span systems biology, synthetic biology, quantitative modeling, lab automation, bioproduction, and single-cell analysis . His work integrates computational and experimental approaches to develop frameworks for understanding and controlling cellular behavior. Key methodologies include the use of synthetic biology, microfluidics, optogenetics, and robotics. The lab has developed innovative software tools such as ReacSight and MicroMator to enable automated and reactive experimentation. Recent publications highlight trends in real-time control of bioproduction, optimization of protein secretion, parameter inference in stochastic models, and ecological frameworks for antibiotic resistance . These works demonstrate a strong focus on integrating modeling with high-throughput experimentation to solve problems in biotechnology and medicine. Scientific contributions include: Development of ReacSight for bioreactor automation and reactive control Creation of MicroMator for reactive microscopy Application of ecological concepts to bacterial antibiotic responses Modeling stochastic kinetics coupled with auxiliary processes Batt advises several PhD students and postdoctoral researchers, including Henri Galez, Alicia Da Silva, Cecilia Capela, and Viktoriia Gross. His lab has received support from ANR, Inria, and other funding bodies. The InBio team operates a state-of-the-art laboratory equipped with bioreactors, liquid handling robots, flow cytometers, automated microscopes, and high-performance computing resources, enabling advanced research at both population and single-cell levels. The lab, located at the Yersin and Lwoff buildings of the Institut Pasteur in Paris, fosters a collaborative environment integrating molecular biology, microbiology, and computational modeling to advance quantitative understanding of cellular systems.

Gilles Blanchardمشاهده پروفایل

استاد

• Statistics
• Machine Learning
• Statistical Learning Theory
• +۵ مورد دیگر

Gilles Blanchard is a Professor at Paris-Saclay University , affiliated with the Institute of Mathematics in Orsay. His research focuses on statistical learning theory , multiple testing , kernel methods , and high-dimensional statistics . Key Contributions: Decontamination of mutually contaminated models Novelty detection with semi-supervised learning Non-Gaussian component analysis (NGCA) for dimension reduction Scientific Awards: PhD thesis award from University of Paris 6 (2004) Google Scholar h-index of 49 with over 8,000 citations Recent Research Trends: False Discovery Rate (FDR) control in structured hypothesis testing Conformal prediction for link analysis Adaptive sampling in restless bandits Statistical learning on measure spaces His work bridges theoretical statistics with practical machine learning applications, including genome-wide association studies , persistent homology in topological data analysis , and random feature moments for compressive learning . He is involved in open-source software development like μTOSS for multiple testing standardization and has advised on projects related to flow cytometry and Hadrontherapy applications.

Milena Hasanمشاهده پروفایل

پژوهشگر

• Single-cell transcriptomics
• Immunology
• Infectious disease research
• +۵ مورد دیگر

Milena Hasan is a Researcher at the Institut Pasteur in Paris, France, specializing in UTechS Single Cell Biomarkers unit. Her work focuses on cutting-edge single-cell transcriptomics , immune profiling , and cytometry data analysis across diverse conditions including viral infections, autoimmune diseases, and cancer immunotherapy. Lead investigator for multiple projects (TPAI, TTP, VARIANCE) involving single-cell technology training and advanced immune response analysis Key contributor to the Milieu Intérieur program studying immune system heterogeneity She actively develops tools for multi-omics data integration and leads courses on Single Cell Gene Expression and Beyond (2022, 2025) and Advanced Immunology (2025). Her research spans host-pathogen interactions , T cell dynamics , and inflammatory disease mechanisms through innovative technologies like spectral cytometry and single-cell proteomics.

Anne Gégout-Petitمشاهده پروفایل

استاد

• Statistics
• Applied Statistics
• Biostatistics
• +۳ مورد دیگر

Anne Gégout-Petit is a Professor at the University of Lorraine (UL) within the Faculty of Science and Technology, where she leads significant research initiatives in statistics and its applications. She serves as Director of the Elie Cartan Institute of Lorraine (UMR 7502) and is an active member of the INRIA BIGS team, demonstrating her leadership position in the French statistical research community. Her research expertise spans multiple domains of statistics with strong application components: Applied statistics and biostatistics Statistical modeling for biological and environmental systems High-dimensional data analysis Probability theory applications Epidemiological modeling Algorithm development for medical diagnostics Professor Gégout-Petit's publication record from 2022-2024 reveals a strong interdisciplinary focus, with research spanning forest pathology, cancer biology, pandemic surveillance, and genetic profiling. Her work consistently bridges theoretical statistical methodology with practical applications, particularly in environmental science, medicine, and public health. She has developed novel approaches including the FINE algorithm for medical data analysis and specialized modeling techniques for disease spread in ecosystems. She has demonstrated significant organizational leadership through directing major statistical events including the ENBIS meeting in Nancy (September 2-6, 2018) and the Statistics Days conference in Nancy (June 3-7, 2019), highlighting her standing within the European statistical community. Her professional activities include: Directing the Elie Cartan Institute of Lorraine Collaborating with researchers across biology, medicine, and environmental science Developing statistical methodologies for complex real-world problems Contributing to public health research during the COVID-19 pandemic

• Deep Eutectic Solvents
• CO2 Capture
• Plastic Recycling
• +۳ مورد دیگر

Jean-Michel ANDANSON is a Research Fellow at the Clermont-Ferrand Institute of Chemistry (CNRS), affiliated with the Thermal and Physicochemical Analysis department at Clermont Auvergne University. His work focuses on developing novel solvents and materials for sustainable applications, such as CO₂ capture, plastic recycling, and polymer analysis. Key research interests include deep eutectic solvents (DES), microplastic detection, and thermodynamic analysis of working fluid pairs for energy systems. Dr. ANDANSON holds a Doctorate in Chemistry-Physics from the University of Bordeaux (2005) and has conducted postdoctoral research at institutions including ETH Zurich, Imperial College London, and EPF Lausanne. His expertise spans infrared spectroscopy, nanocalorimetry, and molecular simulations to study solvent structures and material interactions. His research projects emphasize sustainable development, addressing challenges in environmental remediation and energy efficiency. He collaborates within the Thermodynamics and Molecular Interactions (TIM) team and the Gas Absorption Mechanism (GAM) theme, focusing on interdisciplinary solutions for industrial and environmental applications. Publications highlight advancements in solvent design, microplastic quantification, and nanoparticle synthesis. His work integrates experimental and computational methods to bridge fundamental research with practical applications in green chemistry and renewable energy systems.

• Immunology
• Genetics
• Population Genetics
• +۳ مورد دیگر

Darragh Duffy and Lluis Quintana-Murci are core researchers at Institut Pasteur , leading the LabEx Milieu Intérieur consortium. Duffy specializes in translational immunology and standardized immune phenotyping, while Quintana-Murci focuses on human evolutionary genetics and population-scale immune variation. Their collaborative work integrates genetic, epigenetic, and environmental factors to define the boundaries of healthy immune responses. Key Projects: 1000-donor cohort studies, systems immunology frameworks, microbiome-immunity interplay Methodologies: TruCulture stimulation systems, spectral cytometry protocols, multi-omics integration Their research has produced seminal works on TLR pathway dynamics , IFNγ regulation , and HLA-disease associations , with applications in vaccinology , autoimmune disease and infectious immunity . The Milieu Intérieur project, funded under France's Investissements d'Avenir program, serves as a foundational resource for precision immunology and population health initiatives. Scientific Contributions include: Defining genetic/epigenetic drivers of immune variability Establishing standardized protocols for whole-blood immunophenotyping Revealing microbiome-immunity regulatory networks Characterizing age-, sex-, and genetics-based immune response boundaries Their work underpins 70+ research projects globally, with applications in epidemiology , biomarker discovery , and personalized medicine . The consortium maintains strict data governance through its Data Access Committee , ensuring ethical use of participant data.

Mickaël Ménagerمشاهده پروفایل

پژوهشگر

• Immunology
• Virology
• Transcriptomics
• +۴ مورد دیگر

Mickaël Ménager is the team leader (chef d'équipe) of the SCInflaNet: Single-Cell Inflammatory Responses and multi-OMICs Networks research group at the Imagine Institute. His work focuses on understanding inflammatory diseases and HIV-1 pathogenesis through cutting-edge single-cell transcriptomics, network inference, and computational biology. His research integrates genomic, proteomic, and cellular approaches to dissect mechanisms of autoinflammatory diseases like Aicardi-Goutières Syndrome (AGS) and HIV-DC interactions. Research Interests: Ménager’s lab investigates: 1) regulatory networks driving type I IFN dysregulation in autoinflammatory diseases, and 2) HIV-1 sensing, transfer to T-cells, and host immune responses. Key projects include: Single-cell network analysis to identify molecular drivers of IFN overproduction in AGS Actin dynamics and HIV transfer mechanisms in dendritic cells (DCs) Computational modeling of transcriptional networks using tools like the Inferelator Collaborations & Tools: Collaborates with Richard Bonneau’s lab (Simons Foundation) to develop dynamic gene regulatory networks. Uses bulk RNA-seq, ATAC-seq, and shRNA screens to study DC maturation, HIV endocytosis, and actin nucleation pathways. His team pioneered insights into TSPAN7’s role in HIV transfer and RARA’s regulation of DC activation. Labs & Teams: Leads SCInflaNet within the Imagine Institute, a premier center for genetic disease research. Active in multi-omic platforms and translational medicine, with a focus on developing therapies to replace immunosuppressive treatments in autoinflammatory disorders.

Sophie Mézièresمشاهده پروفایل

مدرس

• Statistics
• Stochastic Processes
• Biostatistics
• +۷ مورد دیگر

Sophie Mézières is a Lecturer at the University of Lorraine , affiliated with the IUT Nancy Charlemagne and the Probability and Statistics team. She is based at the IECL – Nancy site, Faculty of Science and Technology, with an office in Vandœuvre-lès-Nancy, France. Her research focuses on statistical modeling of tumor growth , stochastic processes , and dimension reduction methods applied to biomedical data, particularly flow cytometry and MRI analysis. She collaborates with institutions such as CRAN (BioSIS) and CHRU de Nancy (Neuro-Oncology team). Key contributions include developing online rupture detection algorithms for medical monitoring, predictive models for transplant patient outcomes, and MRI-based quantification tools for glioma infiltration. Her work bridges statistical theory with clinical applications in pharmacokinetics and neuro-oncology. She teaches Mathematics for management , Descriptive statistics , and Advanced Image Analysis in university programs such as M2 IMSD and M2 SNIM. Current responsibilities include the Unsupervised Learning module (2025) and Applied Mathematics instruction at Telecom-Nancy.

Boris Hejblumمشاهده پروفایل

پژوهشگر

• Longitudinal Analysis
• High-dimensional Biomedical Data
• Bayesian Nonparametrics
• +۷ مورد دیگر

Boris Hejblum is a Researcher at the Inserm Bordeaux Population Health Research Center (U1219), co-directing the SISTM team affiliated with INRIA and INSERM. He holds a Research Faculty position, focusing on longitudinal analysis of high-dimensional biomedical data. Previously, he was a tenured Associate Professor (2015–2021) at the Bordeaux School of Public Health, University of Bordeaux, and completed his Ph.D. in Biostatistics at ISPED (Bordeaux) in 2015 under Professors François Caron and Rodolphe Thiébaut. He earned his Master's from ENSAI (France’s National School of Statistics) in 2011. His research spans Bayesian nonparametric methods, optimal transport, single-cell data analysis, and vaccine surrogate markers. Notable contributions include tcgsaseq (RNA-seq differential analysis), CytOpT (flow cytometry analysis), and epidemiological modeling tools like EpidemiOptim. He collaborates widely, with projects in genomics, immunology, and public health. Education: Accreditation to Supervize Research (HDR), 2024, Université de Bordeaux PhD in Biostatistics, 2015, Université de Bordeaux Engineer in Statistics, 2011, ENSAI (Rennes) MSc Statistics, 2011, Université de Rennes Research Interests: Longitudinal data analysis High-dimensional biomedical data integration Optimal transport applications in cytometry Vaccine efficacy and surrogate markers Electronic health record analytics Grants & Teams: Leads the SISTM team (INRIA/INSERM), involved in projects like AI4scMed and SMATCH. Collaborates with institutions globally on HIV vaccine trials and pandemic modeling. Labs/Teams: Co-directs SISTM team at INRIA/INSERM, affiliated with Bordeaux Population Health Center.

• Dielectric Spectroscopy
• Recycling of Electronic Waste
• Liquid Crystal Characterization
• +۵ مورد دیگر

Pierre-Alexandre Hébert is an Associate Professor at the University of the Littoral Opal Coast. His research spans interdisciplinary domains including dielectric material analysis , electronic waste recycling , and machine learning applications for environmental monitoring. Key research focus: Liquid Crystal recycling from E-waste using dielectric spectroscopy Contributions to phytoplankton detection via automated systems and clustering algorithms Collaborations across France, Turkey, Italy, and Ireland His recent publications (2021-2023) emphasize sustainable materials processing, particularly dielectric characterization of recycled liquid crystals for circular economy applications. Earlier work (2008-2018) showcases expertise in image processing , phytoplankton classification , and data clustering techniques. Collaborative projects include: JERICO NEXT (2018), ISyDMA'6 (2021), and SFGP (2022) conferences. Current affiliations involve laboratories at Université du Littoral Côte d’Opale (ULCO) and Université d’Artois (UA).

Nolwenn Le Meurمشاهده پروفایل

دانشیار

• Bioinformatics
• Computational Biology
• Biostatistics
• +۶ مورد دیگر

Nolwenn Le Meur is an Associate Professor at the École des Hautes Études en Santé Publique (EHESP) and a researcher at UMR CNRS 6051 ARENES and INSERM U1309. She leads the Département Méthodes quantitatives en santé publique (METIS) as Deputy Director since 2022. Her expertise spans bioinformatics, computational biology, and public health analytics, with a focus on healthcare system optimization and health disparities. Education includes a HDR (2023) from Université de Rennes, a PhD in Bioinformatics (2005), and engineering degrees from Ecole Supérieure de Microbiologie (1997–2000) and Université de Rennes I (2000–2001). Research interests include data-driven approaches for analyzing healthcare trajectories, spatial accessibility to care, and pandemic impact assessments. She coordinates projects like DISPARITE (EHESP) and PRINCEPS (USPC), focusing on healthcare equity and quality. Her work integrates administrative health databases and semantic web technologies for epidemiological insights. Teaching includes Biostatistics, R programming, and public health management at the Master’s level. She advises on medico-administrative data systems and has contributed to over 50 peer-reviewed publications, emphasizing methodological innovations in health analytics.

Bernd Jaglaمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Single-cell RNAseq analysis
• Cytometry data analysis
• +۷ مورد دیگر

Bernd Jagla is a Bioinformatics Research Scientist at the Pasteur Institute in Paris, France, where he has been working since 2009. Currently affiliated with the Bioinformatics and Biostatistics Hub (C3BI) and the Biomarker Discovery Platform, he previously held positions at Columbia University and Memorial Sloan Kettering Cancer Center in New York City. His educational background includes a PhD in Bioinformatics from the Free University Berlin (1999), a Chemistry Diploma from Free University Berlin & Technical University Munich (1989-1995), and Computer Science studies at Free University Berlin (1990-1991). Jagla's research focuses on bioinformatics applications for high-throughput biological data. His expertise spans single-cell RNAseq analysis, cytometry data processing, function prediction from sequence data, image analysis, mass spectrometry data analysis, and workflow management systems. He has developed several bioinformatics tools including SCHNAPPs for single-cell RNAseq analysis, KNIME extensions for Next Generation Sequencing, and Clean-ngs for adapter removal in sequencing data. His work demonstrates a strong emphasis on data quality assurance and visualization methodologies. His scientific achievements include: caBIG™ Embodying the Vision Award (2007) DFG Fellowship of the Graduiertenkolleg (1997-1999) Jagla actively contributes to bioinformatics training programs at Pasteur Institute, including the Bioinformatics program for PhD students financed by the INCEPTION program. He collaborates across multiple research teams and platforms, providing critical bioinformatics support for cytometry, next-generation sequencing, and microarray data analysis. His work bridges computational methods with biological applications, particularly in immunology and infectious disease research. As a key member of the Bioinformatics and Biostatistics Hub, he supports the Human Immunology Center and contributes to technological developments in bioinformatics infrastructure at the institute, working closely with the Transcriptome and Epigenome platform and the Biomarker Discovery Platform.

Guillaume Dumenilمشاهده پروفایل

استاد

• Microbiology
• Host-pathogen interactions
• Vascular biology
• +۷ مورد دیگر

Guillaume Dumenil is a Professor and Principal Investigator at the Pasteur Institute in Paris, France, where he leads the Pathogenesis of Vascular Infections Unit within the Cell biology and infection department. His research is funded by prestigious grants, including an ERC Advanced Grant (DESTOP) and a previous ERC Starting Grant. He is a leading expert on the pathogenesis of Neisseria meningitidis , the bacterium responsible for meningitis and septicemia. His research focuses on understanding how N. meningitidis colonizes human blood vessels, evades the innate immune system (particularly neutrophils), and causes vascular damage. His lab employs a highly multidisciplinary approach, integrating microbiology , cell biology , vascular biology , structural biology (using Cryo-EM and cross-linking mass spectrometry), and physics . Key to his research is the use of innovative models, such as a human skin xenograft model in mice and 3D microfluidics-based vessel-on-a-chip systems, to study infection in a physiologically relevant context. His recent publications (2021–2024) reveal detailed mechanisms of bacterial virulence, including the structural basis of type IV pili function and immune escape, the dynamics of bacterial adhesion under shear stress, and the identification of bacterial safe havens within arterioles. His work bridges fundamental science with therapeutic applications, aiming to develop new preventive and treatment strategies. His scientific achievements have been recognized with several major awards: ERC Advanced Grant (2022) Grand prix Fondation NRJ – Institut de France (2021) Pasteur Vallery Radot Prize (2019) ERC Starting Grant (2012) Professor Dumenil leads an active research group, mentoring numerous PhD students and post-doctoral fellows. His lab has secured significant grant funding, including multiple ongoing projects like DESTOP and PVMOC, and has produced influential research that is also communicated to the public through videos, media, and science festivals. The lab utilizes advanced technological platforms, including the Cytometry Platform and microfluidics, and is part of larger collaborative initiatives at the Pasteur Institute such as the Labex IBEID (Integrative Biology of Emerging Infectious Diseases).

Michel AUFFRETمشاهده پروفایل

استاد

• Environmental Toxicology
• Biomonitoring
• Coastal Ecosystems
• +۳ مورد دیگر

Michel AUFFRET is a University Professor at the University of Western Brittany, affiliated with the LEMAR Laboratory. His research focuses on environmental toxicology, particularly biomonitoring in anthropized coastal ecosystems. He specializes in using biomarkers to assess water quality, pollution impacts, and ecosystem health. Key areas include marine invertebrates (e.g., mussels, oysters), heavy metal toxicity, climate change effects, and ecotoxicological methodologies. His work integrates field studies with laboratory experiments, addressing multi-stressor environments and emerging contaminants. He has contributed to projects like SASHIMI, advancing biological monitoring frameworks under EU directives. Over 40 years of publications highlight expertise in biomarker applications, immunotoxicology, and environmental policy. Research spans diverse species (zebra mussels, blue mussels, oysters) and environments (estuaries, harbors, sub-Antarctic regions). He explores physiological responses to pollutants, thermal stress, and pathogen challenges. Collaborative efforts include international symposia and methodological advancements in ecotoxicology. Key Themes: Water quality, biomarkers, marine pollution, climate impacts, invasive species Techniques: Flow cytometry, gene expression analysis, field surveillance Applications: Policy support, environmental risk assessment, ecological restoration

• Microbial Diversity
• Aquatic Ecosystems
• Metagenomics
• +۵ مورد دیگر

Gisele Bronner is a Professor at the University Clermont Auvergne, Faculty of Biology, Department of Microorganisms: Genome and Environment. Her research focuses on microbial diversity in aquatic ecosystems, particularly using molecular approaches to study freshwater microbiomes, protists, and microbial communities. She leads several research projects examining the structure and function of microbial communities in lakes, especially the meromictic Lake Pavin. Her research interests span microbial ecology, environmental genomics, metagenomics, and protistology. Dr. Bronner employs cutting-edge molecular techniques including metatranscriptomics, metabarcoding, and bioinformatics to investigate the diversity, function, and dynamics of microbial communities in freshwater environments. Her work often focuses on the smallest components of aquatic ecosystems, from femtoplankton to microbial eukaryotes, examining their roles in ecosystem functioning. Analysis of her recent publications reveals a strong focus on freshwater microbial ecology, with particular attention to meromictic lakes like Lake Pavin. Her research integrates molecular approaches with ecological theory, examining both taxonomic and functional diversity of microbial communities. Key themes include the relationship between microbial diversity and ecosystem function, seasonal dynamics of microbial communities, and the application of novel molecular techniques to environmental microbiology. Dr. Bronner has supervised several doctoral students and early-career researchers, including Arthur Monjot, Hélène Gardon, and Maxime Fuster, who frequently appear as co-authors on her publications. Her research is supported by collaborations across multiple institutions, particularly through the Microorganisms: Genome and Environment laboratory. She leads research in the Microorganisms: Genome and Environment laboratory (LMGE), focusing on freshwater microbial ecology. Her team employs a multidisciplinary approach combining molecular biology, bioinformatics, and ecological theory to study microbial communities in aquatic environments, with special emphasis on Lake Pavin as a model system.