Amy E. Fraley is an Assistant Professor at ETH Zürich, Department of Chemistry and Applied Biosciences, and leads the Medicinal Chemistry Research Group. Her cross-disciplinary work bridges natural products biosynthesis, pharmaceutical sciences, and environmental sustainability through enzymatic chemistry and biotechnology. BSc in Chemistry, Millersville University of Pennsylvania (2014) PhD in Medicinal Chemistry, University of Michigan College of Pharmacy (2019) Postdoctoral work at ETH Zürich Institute of Microbiology under Prof. Jörn Piel Her research focuses on harnessing biosynthetic enzymes (e.g., halogenases, monooxygenases, Diels-Alderases) to create sustainable bioactive metabolites. She explores natural product biosynthesis in fungi and marine bacteria, targeting disease mechanisms and green chemistry applications. Recent work includes metagenomic studies of Lake Chilika microbial mats and polyketide synthase engineering. Notable scientific awards include the 2024 JSP Fellow at Bürgenstock Conference, 2018 Rackham Predoctoral Fellowship, and multiple University of Michigan honors. Her group secured funding from the ETH4D Doctoral Mentorship Grant and Messerli Foundation . Collaborations span structural biology, synthetic chemistry, and microbiology, with key contributions to flavoenzyme characterization and bioactive compound libraries . The lab emphasizes interdisciplinary training and innovation in biocatalytic tools for organic synthesis.
Joel Weadge is an Associate Professor in the Biology Department at Wilfrid Laurier University , Waterloo, Ontario. His research focuses on bacterial biofilms, glycobiology, and protein structure-function relationships. Contact: jweadge@wlu.ca , Office: BA425 (Bricker Academic). Education: PhD in Microbiology (University of Guelph, 2006) BSc (Hons) in Microbiology (University of Guelph, 2000) Research Interests center on bacterial biofilms as virulence factors in pathogens like E. coli and Salmonella . Key areas include: Structural and functional characterization of biofilm proteins (cellulose, curli fimbriae) Enzymology of carbohydrate modifications (acetylation, phosphoethanolamine transfer) Developing therapeutics targeting biofilm synthesis Biopolymer applications for medical/industrial use Publications highlight studies on Pseudomonas and Salmonella biofilm mechanisms, glycosyltransferases, and carbohydrate-active enzymes, with methodologies spanning X-ray crystallography to high-throughput biofilm profiling. Labs and Teams: The Weadge Lab investigates biofilm roles in food/water security and oral health, utilizing enzymology, mass spectrometry, and structural biology. Current members include graduate students, technicians, and research assistants.
Dr. Igor V. Pivkin is a Full Professor at the Institute of Computing within the Faculty of Informatics at the Università della Svizzera italiana (USI) in Lugano, Switzerland. His academic journey includes degrees from Novosibirsk State University (B.Sc./M.Sc. Mathematics), Brown University (M.Sc. Computer Science and Ph.D. Applied Mathematics), and postdoctoral research at MIT's Department of Materials Science and Engineering. His research focuses on multiscale/multiphysics modeling , numerical methods , and large-scale simulations of biological and physical systems. Key areas include biophysics, cellular/molecular biomechanics, stochastic modeling, and coarse-grained molecular simulations. He leverages high-performance computing (HPC) and particle-based methods to address complex biological phenomena. His work spans diverse applications, from understanding cellular mechanosensitivity and biofilm engineering to modeling cancer cell behavior and red blood cell dynamics in the spleen. His contributions bridge computational science, biotechnology, and biomedical research. He has published extensively in top-tier journals, with recent work advancing automated biofilm analysis, deep learning for microbial classification, and systems biology approaches to metal bioleaching. His lab collaborates on interdisciplinary projects, emphasizing computational innovation for real-world biological challenges.
Maria J. Redondo is a Professor at Baylor College of Medicine and leads the Maria J. Redondo Lab at Texas Children’s Hospital, focusing on Type 1 Diabetes across four core areas: Genetics for prediction models and trial candidate selection Heterogeneity in diabetes pathogenesis Prevention through clinical trials Atypical Diabetes and Racial/Ethnic Influences Research Trends: Her recent articles emphasize genetic risk modeling, BMI correlations in pediatric diabetes, and HLA studies. The work integrates autoimmunity , metabolic research , and epidemiological analysis . Scientific Awards: Elected to the Society for Pediatric Research (2014) JDRF Early Career Development Award (2002) JDRF Postdoctoral Fellowship (2000) Immunology of Diabetes Society Junior Investigator Award (1998) Mentoring: Dr. Redondo mentors fellows and students in projects like COVID-19 and Diabetes and Racial Differences in Insulin Pump Uptake , with grants from NIH , Medtronic , and Hemsley Charitable Trust .
Stephen Marshall is Professor of Urban Morphology and Urban Design at The Bartlett School of Planning, University College London. He also served as Visiting Professor at the Department of Architecture and Urban Studies, Politecnico di Milano, Italy from 2019 to 2021. With over twenty-five years of experience in the built environment fields, initially in consultancy and subsequently in academia, Professor Marshall has established himself as a leading expert in urban morphology and design. His educational background includes a Doctor of Philosophy from University College London (2001), a Postgraduate Diploma from Edinburgh College of Art (1995), a Master of Science from the University of Leeds (1989), and a Bachelor of Engineering from the University of Glasgow (1988). Professor Marshall's principal research focuses on urban morphology and street layout, examining their relationships with urban formative processes including urban design, coding and planning. His work bridges urban design theory with practical applications, exploring how cities evolve through complex interactions of physical form, social processes, and planning interventions. He has written or edited several influential books including 'Streets and Patterns' (2005), 'Cities, Design and Evolution' (2009), and 'Urban Coding and Planning' (2011). His recent publications reveal a growing interest in applying complexity science to urban morphology, with particular attention to biological analogies for understanding self-organizing cities. He has pioneered research on digital participation methods in urban planning, exploring how online platforms can enhance public engagement in urban space design. His work consistently bridges theoretical urban morphology with practical applications for contemporary urban challenges like pandemic adaptation and sustainable transport. Professor Marshall has served as Chair of the Editorial Board of Urban Design and Planning from its launch to 2012, and is now co-editor of Built Environment journal. His editorial work has significantly shaped scholarly discourse in urban planning and design. He leads several significant research initiatives including the Incubators of Public Spaces project, which explores digital platforms for co-creating urban spaces, and the Self-Organising Built Environment project, which investigates biological analogies in urbanism. These projects reflect his interdisciplinary approach to understanding and shaping urban environments, connecting with Sustainable Development Goal 11 (Sustainable Cities and Communities).
Philip Poole is a Professor of Plant Microbiology at the University of Oxford's Department of Plant Sciences and Senior Research Fellow at Somerville College. His research focuses on plant-microbe interactions, nitrogen fixation, and rhizosphere microbiology. He has led major international projects including the BBSRC-NSF Synthetic Symbioses program (2014-2019) and the India-UK Nitrogen Fixation Consortium (2016-2019). With 26 grants as PI from the UK's BBSRC, he has secured over £10.5 million in funding. His work includes pioneering bacterial Lux biosensors for metabolite analysis, transcriptomics under sterile conditions, and metatranscriptomics in soil to study microbiome-plant interactions. Current projects model nitrogen fixation biochemistry in legume nodules and investigate rhizobia lifecycle transitions from rhizosphere colonization to symbiotic bacteroid differentiation. He co-directs the Oxford Centre for Plants for the 21st Century and serves on editorial/advisory boards for Microbiology UK, The Journal of Bacteriology, and Pivot Bio. His contributions include elucidating the ammonia-alanine pathway for nitrogen secretion and demonstrating symbiotic auxotrophy dependencies in bacteroids. Key achievements include developing global mutagenesis strategies (INSeq) and advancing understanding of microbial community structures in the rhizosphere. His research integrates molecular, genetic, and systems biology approaches to address global challenges in sustainable agriculture.
Ari Ristimäki is a Professor in the Department of Pathology at the Clinicum, University of Helsinki, specializing in gastrointestinal tumorigenesis. He serves as a Supervisor in the Doctoral Programme in Biomedicine and maintains strong connections with HUS Radiology and Pathology. His research spans fundamental cancer biology to clinical applications, particularly in colorectal cancer and related gastrointestinal malignancies. Professor Ristimäki's research interests focus on gastrointestinal tumorigenesis, with particular emphasis on colorectal cancer mechanisms, molecular pathways, and clinical applications. His work bridges basic science and clinical practice, investigating the molecular underpinnings of gastrointestinal cancers while developing diagnostic and therapeutic approaches. His research portfolio includes studies on tumor biomarkers, cancer metabolism, epigenetic modifications, and translational applications for improved cancer diagnosis and treatment. His recent publications demonstrate a strong focus on colorectal cancer research, with particular attention to molecular characterization of BRAF-mutated tumors, liquid biopsy technologies for mutation profiling, and population-based studies of surgical outcomes in gastrointestinal cancer patients. His work shows consistent productivity with 311 publications to date, reflecting sustained research activity since the early 2000s. Professor Ristimäki has supervised doctoral theses, serving as both supervisor and opponent for PhD candidates. His academic service includes manuscript reviewing, committee memberships, and editorial work. His current research is supported by multiple active projects from prestigious funding bodies including the Academy of Finland (SA_2024-2028), Sigrid Jusélius Foundation, Cancer Foundation, and Liv och Hälsa Foundation, indicating strong recognition of his research program's significance and potential impact.
Caetano Reis e Sousa is a Professor of Immunology at Imperial College London and Senior Group Leader/Assistant Research Director at the Francis Crick Institute. He leads the Immunobiology Laboratory, focusing on dendritic cell biology, immune responses to pathogens, and cancer immunotherapy. His research explores how dendritic cells detect pathogens and dying cells, triggering adaptive immunity. Key roles include investigating cross-presentation mechanisms, C-type lectin receptors (e.g., DNGR-1), and vaccine development strategies. Education: BSc (Hons) Biology from Imperial College London (1989), DPhil in Immunology from University of Oxford (1992). Postdoctoral training at NIH under Ron Germain. Career milestones include founding the Immunobiology Lab at CRUK London Research Institute (1998–2015) before joining the Crick. Awards & Recognition: Highly Cited Researcher (Thomson Reuters), BD Biosciences Prize (2002), Liliane Bettencourt Award (2008), Louis-Jeantet Prize (2017), Fellowships at Royal Society (2019), Academy of Medical Sciences (2006), and EMBO (2006). Named Officer of the Order of Sant'Iago da Espada (Portugal, 2009). Research Themes: Dendritic cell activation pathways, cross-presentation of tumor antigens, microbiome-cancer immunity links, and immune evasion mechanisms. Collaborations involve institutions like UCL, King's College London, and global health networks. Labs/Teams: Head of Immunobiology Lab at Crick, with expertise in immunology, cell biology, and virology. Facilities include Flow Cytometry, Genomics, and Light Microscopy cores. Active in pandemic response (e.g., SARS-CoV-2 testing initiatives).
Professor Oula Ghannoum is a renowned plant scientist and academic leader at the Hawkesbury Institute for the Environment (HIE), Western Sydney University. She serves as Director of the ARC Training Centre for Smart and Sustainable Horticulture and holds leadership roles, including Biological Sciences Discipline Lead and Associate Editor at Functional Plant Biology . Her research focuses on photosynthesis, global change biology, and protected cropping, aiming to enhance food security and climate resilience through crop improvement and sustainable agricultural practices. Education: BSc (Honours) in Plant Biochemistry, University of NSW (1993) PhD in Plant Physiology, Western Sydney University (1998) Research Interests: Professor Ghannoum’s work addresses global challenges like food security and climate change by exploring plant responses to environmental stress. Her lab uses advanced technologies like smart glasshouses and hyperspectral imaging to optimize crop yield and quality. Key areas include sugar signaling pathways in C3/C4 plants, water use efficiency, and heat tolerance in cereal crops. Grants & Funding: She has secured over $25M in research funding, leading projects on C4 photosynthesis, automated crop monitoring, and protected cropping systems. Notable collaborations include the ARC Centre of Excellence for Translational Photosynthesis and Future Food Systems CRC. Awards: 2024 Vice-Chancellor’s Excellence in Research Award 2023 Education and Outreach Award (Australian Society of Plant Scientists) 2001 ARC Postdoctoral Fellowship Labs & Teams: Her team develops innovative frameworks for sustainable horticulture, combining biology with AI and smart technologies. Ongoing work includes imaging-based crop monitoring and phenotyping for climate-resilient crops.
Professor Luke Prendergast is the Deputy Dean of the School of Computing, Engineering & Mathematical Sciences (SCEMS) at La Trobe University (LTU) and holds a Professorship in the Department of Mathematics and Statistics. He previously served as Head of Department (2014–2020) and led LTU's Statistics Consulting Platform. His research focuses on robust statistics, meta-analysis, dimension reduction, and applied statistics, leading the DRAMA research group. Collaborations span fields like endocrinology, disability studies, and respiratory health. He actively contributes to research grants, including projects on Prader-Willi syndrome and exercise for disability populations. Professor Prendergast's recent work emphasizes statistical software development (e.g., the rquest package) and applications in biostatistics, such as metabolomics analysis and health intervention fidelity. His articles address topics like quantile-based hypothesis testing, geospatial accessibility for disability care, and motivational interviewing efficacy. Professional roles include NHMRC grant review panels, editorial boards for Nutrients and Respirology , and leadership in the Statistical Society of Australia (SSA Vic). His teaching includes courses in meta-analysis, linear models, and data-based critical thinking. Grants funded projects on exercise programs for cerebral palsy populations and community-university partnerships for disability inclusion. Luke's work bridges statistical theory with real-world health challenges, emphasizing robust methodologies and interdisciplinary collaboration.
Elin Org is a Professor of Microbiomics at the University of Tartu's Institute of Genomics, where she also serves as Head of the Estonian Genome Centre and Vice Director of the Institute. Her academic career spans over two decades with significant contributions to microbiome and genomic research. Education: PhD in Genetics, University of Tartu (2006) Master's Degree in Molecular Biotechnology and Biomedicine, University of Tartu (2000) Bachelor's Degree, University of Tartu (1997) Classical Singing, Heino Eller Tartu Music School (1996) Professor Org's research primarily focuses on the intricate relationships between host and gut microbiota and their influence on metabolism and common complex diseases. Her work bridges microbiomics, genomics, and complex disease research, with particular emphasis on understanding how gut microbiome composition affects human health. She has pioneered research connecting long-term antibiotic usage with microbiota-dependent effects and has made significant contributions to understanding the role of gut microbiome in conditions such as gestational diabetes, endometriosis, and polycystic ovary syndrome. Her approach integrates advanced computational methods with comprehensive health data to uncover causal relationships in microbiome research. Her recent publications demonstrate a strong trend toward integrating microbiome data with extensive digital health metrics, using machine learning approaches to identify microbial predictors of health outcomes. This work is increasingly focused on translating microbiome research into clinical applications for disease prediction and personalized medicine approaches, particularly in the context of the Estonian Biobank initiative. Major Scientific Recognition: 2025 National Science Award in medical and health sciences 2023 and 2022: Recognized among the world's top 1% most cited researchers by Clarivate Analytics 2020: Member of AcademiaNet, a portal for top female researchers 2017: EMBO Installation grant 2013: Marie Curie International Outgoing Fellowship Professor Org has secured substantial research funding as principal investigator for multiple significant projects, including 'DISCERN - Discovering the causes of three poorly understood cancers in Europe' (€245,466, European Commission) and 'Improving colorectal cancer screening and prediction using microbiome-based biomarkers' (€760,450, Estonian Research Council). She has served as an opponent for numerous PhD theses across European institutions, contributing to the development of emerging researchers in her field. As Head of the Estonian Genome Centre, Professor Org leads a multidisciplinary research team that plays a crucial role in Estonia's transition from biobanking to personalized medicine applications. She is actively involved in international collaborations through COST networks including INFOGUT (focused on in vitro colon models) and ML4Microbiome (statistical and machine learning techniques in human microbiome studies), positioning her at the forefront of global microbiome research initiatives.
Dr. Christina Leslie is a Research Professor and Member of the Computational & Systems Biology Program at Memorial Sloan Kettering Cancer Center (MSK). She leads an active research laboratory focused on developing computational approaches to understand complex biological systems. Dr. Leslie earned her PhD from the University of California, Berkeley and has established herself as a leading computational biologist in cancer research and immunology. Computational & Systems Biology Program, Memorial Sloan Kettering Cancer Center Gerstner Sloan Kettering Graduate School of Biomedical Sciences Dr. Leslie's research focuses on developing novel computational methods to study cellular biological systems from a global and data-driven perspective. Her lab exploits diverse high-throughput functional and genomic data to understand molecular networks underlying fundamental cellular processes, including transcription regulation, pre-mRNA processing, signaling, and post-transcriptional gene silencing. Her algorithmic methods draw heavily on machine learning to build accurate predictive models from noisy and high-dimensional biological data. Key areas of interest include modeling cell-type specific transcriptional programs and dissecting co- and post-transcriptional regulation, particularly microRNA-mediated gene regulation. Analysis of Dr. Leslie's publication record over the last five years reveals a strong focus on computational approaches to cancer genomics, immunology, and epigenetics. Her work bridges multiple disciplines, with a particular emphasis on developing machine learning methods to interpret complex biological data. The publications demonstrate increasing sophistication in integrating multiple data types (genomic, transcriptomic, epigenomic) to understand cancer biology and immune responses. Recent work shows a growing emphasis on single-cell technologies and spatial analysis of tumor microenvironments. Introduction of string kernel methodology for SVM classification of biological sequences Development of algorithms for predictive modeling of gene regulation First systems-level analyses of competition between microRNAs and between target transcripts Dr. Leslie actively mentors numerous graduate students and research associates, with current lab members including Vianne Gao, Alireza Karbalaghareh, Erik Ladewig, and several others. Her lab has received significant research funding to support their work on computational approaches to cancer biology and immunology. The Leslie Lab maintains close collaborations with multiple experimental groups at MSK, facilitating the translation of computational insights into biological understanding. The Leslie Lab operates within the Computational & Systems Biology Program at MSK, with strong ties to both the research and clinical missions of the institution. The lab maintains state-of-the-art computational infrastructure for analyzing large-scale genomic and proteomic datasets and collaborates extensively with wet-lab researchers to validate computational predictions experimentally.
Iona Cheng is a Professor in the Department of Epidemiology and Biostatistics at the University of California, San Francisco (UCSF), where she conducts groundbreaking research in cancer epidemiology. She serves as co-Investigator of the SEER Greater Bay Area Cancer Registry and is Principal Investigator of multiple NIH- and foundation-funded projects examining genetics, lifestyle factors, and neighborhood characteristics in relation to cancer risk. Dr. Cheng has developed an extensive research program focused on racial/ethnic differences in cancer risk and leads population-based cancer surveillance studies that document variations in cancer incidence and mortality patterns across diverse racial and ethnic groups. University of California, Davis, BS, 1990–1994, Physiology Yale University, MPH, 1999–2001, Chronic Disease Epidemiology University of Southern California, PhD, 2001–2005, Epidemiology University of California, San Francisco, Postdoc, 2006–2008, Genetic and Molecular Epidemiology Dr. Cheng's research spans multiple disciplines within cancer epidemiology, with particular emphasis on understanding how environmental exposures, genetic factors, and social determinants interact to influence cancer risk and outcomes across different racial and ethnic populations. Her work frequently examines the impact of air pollution, endocrine-disrupting chemicals, and neighborhood characteristics on cancer development and survival. She has made significant contributions to understanding cancer disparities among Asian American, Native Hawaiian, and Pacific Islander populations, bringing attention to the unique cancer risks and outcomes within these understudied groups. Her research often leverages the Multiethnic Cohort Study, one of the largest prospective studies of cancer incidence and mortality across diverse racial/ethnic populations. Analysis of Dr. Cheng's recent publications reveals a consistent focus on environmental and social determinants of cancer risk across multiple organ sites. Her work demonstrates a sophisticated integration of epidemiological methods with environmental exposure assessment, genetic analysis, and health disparities research. Many of her studies examine the intersection of environmental exposures and racial/ethnic disparities in cancer outcomes, particularly regarding breast cancer, lung cancer, and other malignancies. She has published extensively on the impact of air pollution on cancer risk and survival, as well as the effects of endocrine-disrupting chemicals like bisphenol A, parabens, and phthalates. American Association for Cancer Research Scholar-in-Training Award (2007) National Institutes of Health Loan Repayment Award (2007) National Institutes of Health Loan Repayment Renewal Award (2009) American Association for Cancer Research Faculty Scholar Award (2011) National Institutes of Health Loan Repayment Renewal Award (2011) National Institutes of Health Loan Repayment Renewal Award (2013) American Journal of Epidemiology/Society of Epidemiology Research Top 10 manuscripts (2014) Cancer Prevention Institute of California Mentoring Award (2015) American Society of Human Genetics Top poster As Principal Investigator of multiple NIH-funded projects, Dr. Cheng oversees substantial research grants focused on cancer epidemiology and health disparities. Her work often involves large interdisciplinary collaborations with researchers across multiple institutions, including the Multiethnic Cohort Study which follows over 200,000 participants from diverse racial/ethnic backgrounds. She has demonstrated leadership in mentoring junior researchers, particularly those from underrepresented backgrounds in science, as evidenced by her Cancer Prevention Institute of California Mentoring Award. Her research program integrates data from cancer registries, electronic health records, and geospatial information to provide comprehensive insights into cancer patterns and risk factors. Dr. Cheng's research is closely connected to the UCSF Helen Diller Family Comprehensive Cancer Center and leverages collaborations with Lawrence Berkeley National Laboratory, which provides advanced technological resources for cancer research. Her work benefits from access to extensive cohort data, sophisticated exposure assessment methods, and interdisciplinary expertise in genetics, environmental science, and computational biology available through these institutional partnerships. She frequently collaborates with researchers studying the genetic and environmental determinants of cancer across multiple organ systems, contributing to a more comprehensive understanding of cancer etiology and prevention strategies.
Giulia Giordano is a Full Professor in the Department of Industrial Engineering at the University of Trento, Italy, where she leads the Dynamical Networks and Systems Biology research group. She also holds a dual appointment as Visiting Professor and Delft Technology Fellow at the Delft Center for Systems and Control, Delft University of Technology, The Netherlands. Her career includes previous positions as Assistant Professor at Delft University of Technology (2017-2019), Postdoctoral Research Fellow at Lund University, Sweden (2016-2017), and Research Fellow at the University of Udine, Italy (2016). Giulia earned her Ph.D. in Industrial and Information Engineering: Automation (Excellent) from the University of Udine with a thesis titled "Structural Analysis and Control of Dynamical Networks." She completed her M.Sc. and B.Sc. in Electrical Engineering (both Summa cum laude) at the same institution. She also undertook research visits at Caltech (2012) as a SURF Fellow and at the University of Stuttgart (2015) as a DAAD Research Scholar. Her primary research focuses on the analysis and control of dynamical networks with applications in systems biology, mathematical ecology, and mathematical epidemiology. She develops mathematical frameworks that bridge control theory, network theory, and dynamical systems to address complex problems in biological systems. Her recent work spans epidemic modeling, opinion dynamics, biochemical networks, and neurological disorders, with a particular emphasis on structural analysis of networked systems. She employs both theoretical and computational approaches to understand system behavior under uncertainty. Giulia's publications reveal a strong interdisciplinary focus, spanning from theoretical control systems to practical applications in epidemiology and biology. Her recent work shows increasing emphasis on epidemic modeling (particularly related to mpox and SARS-CoV-2), network synchronization, and the application of control theory to biological phenomena like fibromyalgia pathogenesis and opinion formation. Many of her papers appear in top-tier control journals including Automatica and IEEE Transactions on Automatic Control. 2024: Outstanding Service as Associate Editor of IEEE Control Systems Letters 2021: SIAM Activity Group on Control and Systems Theory Prize 2020: Outstanding Reviewer, Annals of Internal Medicine 2017: NAHS Best Paper Prize and EECI PhD Award 2016: Outstanding TAC Reviewer, IEEE Transactions on Automatic Control Giulia actively mentors students and postdoctoral researchers, currently supervising five postdoctoral researchers and two Ph.D. students at the University of Trento. She has advised numerous M.Sc. and B.Sc. students on topics ranging from bio-inspired modeling to optimal control of epidemic systems. Her research is supported by competitive grants including the ERC Starting Grant INSPIRE (Integrated Structural and Probabilistic Approaches for Biological and Epidemiological Systems). She serves as Associate Editor for IEEE Control Systems Letters and Automatica, and is a Senior Member of IEEE and the Control Systems Society. Giulia leads the Dynamical Networks and Systems Biology research group at the University of Trento, which maintains strong international collaborations across Europe and North America. The group's work combines theoretical advances in control theory with practical applications to pressing problems in public health and biological systems, demonstrating the power of mathematical approaches to understanding complex phenomena in the life sciences.
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.
