Find Academic Supervisors

• Artificial Intelligence
• Data Science
• Machine Learning
• +7 more

Hady W. LAUW is an Associate Professor in the School of Computing and Information Systems (SCIS) at Singapore Management University (SMU), serving as Director of the BSc (Computer Science) Programme and a Lee Kong Chian Fellow. He holds a PhD from Nanyang Technological University (2008). His research focuses on artificial intelligence, data science, machine learning, and recommender systems, with notable contributions to multimodal recommendation frameworks like Cornac and collaborative filtering techniques. He teaches advanced courses including IS712 Machine Learning for postgraduate students and CS608 Recommender Systems for MITB programme participants. His work emphasizes practical applications, such as designing explainable recommendation systems and integrating A/B testing into frameworks. Key research interests include web mining, preference learning, representation learning, and decision support systems. He has advised multiple students on topics like neural networks, collaborative filtering, and comparative analysis of reviews. Scientific achievements include the Lee Kong Chian Fellowship and over 100 publications in top venues like ACM WWW and IEEE TKDE. He actively contributes to conferences as a PC member and chairs events like PAKDD. His Cornac framework supports reproducible research in multimodal recommendations. He leads the Preferred.AI research group, fostering undergraduate and postgraduate research in computing. His work bridges theoretical advancements with industry applications, particularly in data-driven decision making and automated evaluation metrics.

• Water Resources Management
• Water Footprint
• Water Scarcity
• +12 more

Oleksandr Mialyk is a dedicated researcher in the field of multidisciplinary water management, contributing significantly to global assessments of water footprints, water scarcity, and agricultural sustainability. His work bridges environmental science, climate change, and food systems, with a strong alignment to UN Sustainable Development Goals. Master, Instituto Superior Técnico (2019) Master, Technische Universität Dresden (2019) Master, Groundwater and Global Change, UNESCO-IHE Institute for Water Education (2017) His research interests center on water resources management, climate change impacts, and the water-energy-food nexus. He specializes in life cycle assessment, crop modeling, and the development of global datasets to evaluate freshwater use and agricultural sustainability. His work often integrates large-scale data with modeling frameworks to assess environmental impacts across regions and time periods. The recent publications highlight a consistent focus on quantifying water footprints of global crop production, analyzing green water scarcity, and comparing agricultural systems. His research leverages gridded crop models and open datasets to provide high-resolution insights into water use, nutrient production, and climate resilience in agriculture. The integration of software tools like the ACEA model underscores his contribution to open science and reproducible research. While no formal scientific awards are listed, his work has been recognized through media coverage and presentations at academic forums. His research has been featured in outlets discussing climate change impacts on crop production and the importance of water footprint transparency. Mialyk actively collaborates with researchers across institutions and countries, contributing to interdisciplinary projects and co-authoring high-impact publications. He has also developed and shared critical datasets and software, enhancing the research community's capacity to study agricultural water use. His work supports future research in sustainable agriculture, climate adaptation, and resource governance. He is associated with research activities including oral presentations and public engagement, demonstrating a commitment to both academic discourse and societal impact. His datasets are hosted by 4TU.Centre for Research Data and Zenodo, ensuring accessibility and long-term preservation.

• Computational Mechanics
• Granular Materials
• Machine Learning in Physics-Based Simulations
• +7 more

H. Cheng is a researcher at the University of Twente, affiliated with the Faculty of Engineering Technology and the Department of Mechanics of Solids, Surfaces and Systems. He plays a central role in several interdisciplinary research projects focused on computational modeling of granular materials, geohazards, and machine learning integration in physics-based simulations. His research centers on advancing numerical methods such as the Discrete Element Method (DEM) and developing machine learning surrogates for efficient uncertainty quantification in complex systems. Key project areas include offshore infrastructure resilience under climate change (POSEIDON), dynamic fault slip in induced seismicity (FastSlip), upscaling particulate systems for industrial applications (TUSAIL), and automated segmentation of soil-root systems using micro-CT imaging (UNSAT). H. Cheng leads and supervises multiple early-career researchers across EU-funded initiatives, including MSCA Doctoral Networks and COST Actions. He is the main applicant and supervisor in the GrainLearning project, which integrates Bayesian inference with physics-based models to improve simulation accuracy and efficiency. His scientific contributions span collaborative research across academia and industry, with a strong emphasis on open science, reproducibility, and cross-sectoral training. He contributes to community-building through initiatives like ON-DEM, promoting best practices in particle-based simulations. Supervisor of multiple PhD students and postdoctoral researchers Daily supervisor in POSEIDON, FastSlip, TUSAIL, UNSAT Vice-lead of Working Group 1 in ON-DEM COST Action Main applicant and project lead for GrainLearning H. Cheng is actively involved in training the next generation of computational scientists and engineers, with a focus on interdisciplinary methodologies that bridge mechanics, data science, and industrial applications.

Elika BergelsonView profile

Associate Professor

• Infant Language Acquisition
• Cognitive Development
• Word Learning
• +9 more

Elika Bergelson is the John L. Loeb Associate Professor of the Social Sciences in the Department of Psychology at Harvard University, within the Faculty of Arts and Sciences. She leads the Bergelson Lab (BLAB), part of Harvard's Laboratory for Developmental Studies, focusing on infant language acquisition. Her research examines how infants learn words by studying both cognitive mechanisms and environmental input through naturalistic and lab-based methods. Her research interests center on infant language acquisition , cognitive development , and word learning , with a focus on how language input, social interaction, and sensory experience shape early linguistic knowledge. She explores word comprehension, phonological and semantic representations, and the role of variability in talker and wordform input. Her lab has pioneered large-scale cross-linguistic studies and expanded into atypical development, including language acquisition in blind and deaf infants. The 15 most recent publications reflect a strong trend in naturalistic data collection , cross-linguistic comparison , and methodological innovation , particularly in using LENA recordings and open science practices. Topics include acoustic and talker variability, vocabulary development in sensory-impaired children, remote infant testing, and the reliability of speech analysis tools. Dr. Bergelson is committed to diversity, equity, and inclusivity in research and lab recruitment. She actively promotes open science, public outreach, and policy applications of developmental science. She has mentored numerous students and researchers, though specific names are not listed. Her work is supported by collaborative grants and large-scale interdisciplinary projects. The Bergelson Lab employs methods including eye-tracking , EEG , audio discrimination tasks , and corpus analysis . It continues the SEEDLingS project and collects longitudinal data from infants with sensory impairments. The lab maintains open repositories on GitHub and emphasizes reproducibility and transparency in research.

• Policy Evaluation
• Empirical Economics
• Education Economics
• +12 more

Dinand Webbink is a Full Professor of Policy Evaluation at the Erasmus School of Economics, Erasmus University. He is actively engaged in empirical economic research with a focus on assessing the impact of public policies in education, labor, health, and crime. He holds fellowships at the Tinbergen Institute and IZA Bonn, and is an academic partner at the Netherlands Bureau of Economic Policy Analysis (CPB), highlighting his national and international recognition. His research interests span a wide range of topics in applied microeconomics and econometrics. Key areas include policy evaluation using causal inference methods, education reform, labor market dynamics, health economics, and socioeconomic inequality. His methodological expertise includes difference-in-differences, fixed effects modeling, and analysis of large-scale survey and administrative data. His work frequently contributes to evidence-based policymaking and aligns with several UN Sustainable Development Goals, particularly those related to quality education and reduced inequalities. The most recent articles highlight his ongoing contributions to pressing policy debates—such as the shift from grants to income-contingent loans in Dutch higher education, the behavioral economics of happiness and altruism in sports contexts, and the effects of forced school attendance on student outcomes. His publications appear in leading journals like the Journal of Applied Econometrics , Economics of Education Review , and Scandinavian Journal of Economics , indicating sustained scholarly impact. Scientific Honors and Affiliations: Fellow, Tinbergen Institute Fellow, IZA Bonn Academic Partner, Netherlands Bureau of Economic Policy Analysis (CPB) Webbink has supervised 15 academic works, reflecting his commitment to mentoring the next generation of economists. Although specific grant details are not listed, his affiliations with CPB and Tinbergen Institute suggest involvement in major research initiatives and policy advisory roles. He has also contributed datasets to public repositories, supporting open science and reproducibility in empirical economics. He is associated with research groups and networks including the Tinbergen Institute, IZA, and CPB, which serve as collaborative hubs for economic research in Europe. These affiliations enable interdisciplinary and policy-relevant research with real-world impact.

Justin M. NotesteinView profile

Professor

• Catalysis Science
• Energy Materials
• Nanoscience
• +4 more

Justin M. Notestein is a Professor of Chemical and Biological Engineering at Northwestern University and Director of its Center for Catalysis and Surface Science (CCSS). He leads research in catalysis science, energy, and nanoscience, focusing on designing sustainable materials for chemical and fuel production. His work emphasizes heterogeneous catalysts, including supported metal nanoparticles, oxide catalysts, and nanocavity systems. Notestein holds a Ph.D. from UC Berkeley and a B.S.E. from Princeton University, with postdoctoral training at the University of Illinois. Research interests include developing catalysts for selective oxidation, carbon capture, biomass conversion, and environmental processes. The lab collaborates with industry and national labs, emphasizing reproducibility and structure-function relationships. Recent work explores advanced materials like metal-organic frameworks (MOFs) and silica-overcoated oxides for enhanced catalytic performance. Publications highlight advancements in epoxidation, oxidative dehydrogenation, and phase transfer catalysis. The Notestein Group prioritizes an inclusive environment with a focus on well-being, collaboration, and mentorship. Activities span academic and industrial partnerships to address energy and sustainability challenges. Notestein’s research integrates synthesis, mechanistic studies, and computational modeling to advance catalyst design. Key applications include sustainable chemical production, hydrogen generation, and reducing emissions through innovative catalytic processes.

Helen RobertsView profile

Professor

• Luminescence Dating
• Quaternary Science
• Geomorphology
• +7 more

Helen Roberts is a Professor in the Department of Geography and Earth Sciences at Aberystwyth University , where she has been a key figure since joining as a post-doctoral researcher in 1998 and becoming a Lecturer in 2005. She currently serves as Co-Director of the Aberystwyth Luminescence Research Laboratory (ALRL) and holds leadership roles in international bodies such as INQUA’s Stratigraphy and Geochronology Commission. PhD, University of Liverpool Her research focuses on luminescence dating of Quaternary sediments , with applications in understanding geomorphic change, coastal dynamics, paleoclimate, and human evolution . She has led major projects such as EQUATE and CREDit , funded by Horizon Europe and NERC, and has been involved in international drilling initiatives in Ethiopia and Italy. Her work integrates fieldwork, laboratory innovation, and data modeling to reconstruct environmental change over hundreds of thousands of years. Analysis of her recent publications reveals a strong emphasis on refining luminescence techniques (e.g., pIRIR, TL in calcite), applying them to critical paleoenvironmental archives (lake sediments, loess, glacial deposits), and linking climate variability to human evolution. Her interdisciplinary approach spans geochronology, sedimentology, and paleoanthropology. Fellow of the Learned Society of Wales (2023) Professor Roberts has supervised PhD students, including Svenja Riedesel, and secured significant research grants from NERC, UK Space Agency, and the Welsh Government. She actively contributes to scientific discourse through media engagement and public outreach. Her work supports UN Sustainable Development Goals related to climate action and life on land. She leads and participates in numerous international collaborations and professional committees, reflecting her standing in the Quaternary science community. She is involved in several research groups and laboratories, most notably the Aberystwyth Luminescence Research Laboratory , where she co-directs methodological development and application of luminescence dating techniques. Her team collaborates globally on projects involving terrestrial archives, paleoclimate modeling, and human evolution.

Sinead O'ConnorView profile

Senior Lecturer

• Human Geography
• Feminist Geography
• Post-feminism
• +12 more

Sinead O'Connor is a Senior Lecturer in the Department of Geography and Earth Sciences at Aberystwyth University. She completed her PhD in Human Geography at University College Cork in 2016 and has since been an active member of the academic staff at Aberystwyth. She serves as the Programme Leader for the integrated foundation year schemes, demonstrating leadership in curriculum development and student support. Institution: Aberystwyth University Department: Department of Geography and Earth Sciences Position: Senior Lecturer Leadership Role: Foundation Year Programme Leader Her educational background includes a BA (Hons) in European Studies and a PhD in Human Geography from University College Cork. Sinead O'Connor's research centers on feminist and cultural geographies, with a focus on the intersections of body politics, digital media, and social justice. She critically examines how digital platforms like Instagram reproduce racialized and gendered beauty ideals under neoliberal post-feminism. Her work investigates the appropriation of movements such as body positivity and fat liberation by privileged groups, highlighting how these movements often exclude marginalized voices. She also explores the geographies of international students, focusing on inclusion, encounter, and the politics of difference within higher education institutions. Her recent publications reveal a consistent trend in analyzing power, representation, and inequality through an intersectional lens. Articles such as The racial economy of Instagram and The intersectional geographies of international students in Ireland demonstrate her engagement with critical race theory, feminist theory, and political economy. Her work bridges human geography with sociology, media studies, and education policy, contributing to broader debates on equity and justice. Sinead O'Connor actively contributes to the academic community through peer review, editorial work, and conference organization. She has served as an editor for the Journal of Geography in Higher Education and as a peer reviewer for journals such as Gender, Place and Culture and AI & Society . She has organized and participated in numerous workshops and conferences, including the RGS-IBG Social and Cultural Geography 50th Anniversary event and the Relentless injustice conference in 2025. Her involvement in academic service reflects a strong commitment to scholarly dialogue and institutional development. She is also engaged in collaborative research initiatives such as AberCollab: Bringing Bodies into Policy and Screening and Sharing - Decolonial pedagogies in Wales Higher Education , indicating her dedication to decolonial and inclusive pedagogical practices. Her work is recognized in policy circles and has been referenced in policy sources, demonstrating real-world impact.

Courtney PerryView profile

Assistant Professor

• Gastroenterology
• Inflammatory Bowel Disease (IBD)
• Digestive Health
• +6 more

Courtney Perry, DO is an Assistant Professor in the Department of Internal Medicine at the University of Kentucky College of Medicine, with a focus on Digestive Health and Nutrition. She is actively involved in clinical care, research, and academic teaching within the Division of Gastroenterology. Medical School: DO, Rocky Vista College of Osteopathic Medicine Residency: Internal Medicine, University of Kentucky, Lexington, KY Fellowship: Gastroenterology, University of Kentucky, Lexington, KY Dr. Perry's research interests are centered in gastroenterology, particularly inflammatory bowel disease (IBD), intestinal cell biology, and public health aspects of digestive diseases. Her work spans clinical research, epidemiology, and translational studies, with a strong emphasis on patient outcomes and health education. She has also contributed to interdisciplinary research in digital health and pediatric nutrition. Her recent publications reflect a diverse yet focused research trajectory. Themes include IBD epidemiology and treatment challenges, molecular mechanisms in intestinal health, digital transformation in pathology, and public health strategies for obesity and nutrition. Her work appears in high-impact journals such as Cellular and Molecular Gastroenterology and Hepatology , Blood Advances , and The Lancet Digital Health , indicating both clinical and translational relevance. Prevalence and characterization of anti-VWF antibodies in type 3 VWD (2024) Digital-physical divide in pathology research (2023) Urban Legend: IBD epidemiology knowledge gaps (2023) Opioid use in IBD – ethical considerations (2021) SIRT2 in intestinal cell regulation (2020) Dr. Perry has collaborated with multidisciplinary teams across institutions and has contributed to review articles and editorials on public health and clinical ethics. While no formal advising or grant information is listed, her active publication record suggests ongoing research engagement and mentorship. She is affiliated with the University of Kentucky's Gill Heart and Vascular Institute and contributes to the academic mission of the Internal Medicine residency and fellowship programs.

• Hydroinformatics
• Watershed Hydrology
• Surface Water Quality
• +8 more

Jeffery Horsburgh is a Professor in the Department of Civil and Environmental Engineering and the Utah Water Research Laboratory at Utah State University, where he conducts research and teaches in hydroinformatics, GIS, and environmental data systems. He is affiliated with the College of Engineering and actively contributes to advancing cyberinfrastructure for hydrologic science. His educational background includes a PhD (2009), MS (2001), and BS (1999), all in Civil and Environmental Engineering from Utah State University. Horsburgh's research focuses on watershed hydrology, surface water quality, environmental sensor networks, data models, and cyberinfrastructure for environmental observations. He leverages GIS for data analysis and develops modeling techniques for hydrologic and water quality prediction. His work emphasizes open, reproducible science and data interoperability. His recent publications highlight a strong trend in hydroinformatics, with emphasis on open data platforms (e.g., HydroShare), sensor data integration, metadata standards, and reproducible modeling. The articles span topics from edge computing in smart water meters to national-scale hydrologic modeling frameworks. Outstanding Researcher, USU CEE, 2024 Reproducibility Author Award, 2023 Outstanding Teacher, USU CEE, 2019 Early Career Excellence Award, iEMSs, 2014 Outstanding Reviewer Award, Environmental Modelling & Software, 2014 Horsburgh has mentored over a dozen graduate students in civil and environmental engineering, focusing on hydroinformatics and water systems. He leads multiple research projects funded by federal and state agencies, including HydroShare, I-GUIDE, and Logan River Observatory. He is also involved in developing open-source software for environmental data management and has contributed to national standards for hydrologic data sharing. He leads or participates in key research initiatives such as the Logan River Observatory, HydroShare, and the Critical Zone Collaborative Network, emphasizing interdisciplinary collaboration, real-time data integration, and next-generation water infrastructure.

Thomas CokelaerView profile

Researcher

• Bioinformatics
• Data Analysis
• Machine Learning
• +12 more

Thomas Cokelaer is a researcher at the Institut Pasteur, affiliated with the Bioinformatics and Biostatistics HUB and based at the Platform Biomics. Since October 2018, he has led the SALSA (dry-lab) group, focusing on bioinformatics software development and data analysis. His interdisciplinary background spans astronomy, plant modeling, systems biology, and drug discovery. Institution: Institut Pasteur Unit: Bioinformatics and Biostatistics HUB Platform: Platform Biomics Group: SALSA (dry-lab group) leader His research interests center on bioinformatics, next-generation sequencing (NGS) analysis, machine learning, data visualization, and reproducible research. He develops and maintains several widely used open-source tools including Sequana (NGS pipelines), BioServices (biological web services), Bioconvert (format conversion), Sequanix (GUI for Snakemake), and GDSCTools (pharmacogenomics). He is deeply committed to promoting reproducibility in computational research through initiatives like reprohackathons. The recent publications reflect a strong trend in computational biology, with a focus on developing bioinformatics methodologies, improving data analysis workflows, and applying these tools to diverse biological problems such as fungal pathogenesis, cancer pharmacogenomics, mitochondrial metabolism, and viral evolution. The work spans genomics, transcriptomics, systems biology, and software engineering. He has contributed to numerous scientific software projects as Principal Investigator, including Sequana, Bioconvert, GDSCTools, DREAMTools, and Sequanix. He has also taught courses in scientific programming with Python and reproducible data analysis at the Institut Pasteur. His collaborative network includes researchers from EMBL-EBI, Sanger Institute, INRIA, and international partners within the Pasteur Network. The SALSA group hosts master’s students and visiting researchers annually.

Benjamin SchwessingerView profile

Professor

• Plant Pathology
• Genomics
• Fungal Biology
• +3 more

Prof Benjamin Schwessinger is a Professor at the Australian National University (ANU), affiliated with the Division of Plant Sciences. His research focuses on plant pathogens, fungal genomics, and the evolutionary dynamics of pathogen adaptation. Key areas include understanding rust fungi biology, host-pathogen interactions, and structural genomic variations in plants like Eucalyptus. He has pioneered methodologies for high-throughput protein secretion optimization in yeast and developed diagnostic tools for invasive pathogens such as Austropuccinia psidii (myrtle rust). Research Interests: Plant-microbe interactions and immunity Fungal genomics and sexual recombination mechanisms Evolving pathogen populations in agricultural systems Genomic tools for disease surveillance and biosecurity His recent work explores the genomic basis of pathogen adaptation, including studies on wheat stripe rust and myrtle rust. Collaborations span fungal pathogenomics, eucalyptus structural genomics, and yeast biotechnology. He leads multiple projects funded by ANU and ARC, including the Plant Biosecurity Training Centre. His lab emphasizes reproducible research practices and early career researcher development. Key projects include: Digital yeast bioprospecting for non-alcoholic beer production Surveillance of airborne pathogens in Australian Botanic Gardens Genome evolution of cereal rust fungi Labs/Teams: Core member of ANU's Plant Biosecurity Group and collaborator in the ARC Training Centre in Plant Biosecurity.

Marta CatilloView profile

Researcher

• Cybersecurity
• Machine Learning
• Intrusion Detection Systems
• +3 more

Marta Catillo is a Researcher at the Department of Engineering (DING) of the University of Sannio (UNISANNIO) . She specializes in Cybersecurity , with focus on Machine Learning applications for intrusion detection , IoT security , and cloud auto-scaling mechanisms . Her research addresses challenges in Denial of Service (DoS) mitigation , anomaly detection , and deep learning architectures for security. Teaching: [803004] PROGRAMMING 1 for Electronic and Biomedical Engineering students (2025 cohort) Contact: Office hours: Thursdays 3-5 PM, Room 23, Bosco Lucarelli Palace Research trends: From 2019-2025 publications, her work spans adversarial attack resistance , collective anomaly detection , outlier-aware architectures , and empirical analysis of defense mechanisms , with recurring collaborations with Antonio Pecchia , Umberto Villano , and Massimiliano Rak . Key methodologies include deep autoencoders , hybrid detection systems , and measurement-based security evaluation . Technical Contributions: Developed the ZED-IDS framework for zero-day threat detection, MultiCIDS for multivariate time series intrusion detection, and DEFEDGE for edge-cloud security testing.

• Analytical Chemistry
• Mass Spectrometry
• Metabolomics
• +4 more

Tim Causon is an Associate Professor at the Institute of Analytical Chemistry, Department of Chemistry, University of Natural Resources and Life Sciences (BOKU) in Vienna, Austria. With a PhD from the University of Tasmania and habilitation in analytical chemistry, he has established himself as a leading expert in mass spectrometry and metabolomics applications. His research focuses on developing advanced analytical methods with particular emphasis on ion mobility mass spectrometry techniques and their applications in biotechnology and metabolomics. Dr. Causon's research interests center on method development for mass spectrometric analyses in metabolomics, particularly for biotechnology and bioprocess engineering applications. His work explores fundamental studies of molecular ions and analytical applications of ion mobility mass spectrometry (IM-MS), with significant contributions to capillary electrophoresis, chromatography, and metabolomics. His laboratory develops innovative approaches for metabolite identification, structural characterization, and quantitative analysis, with applications spanning from bioproduction to environmental analysis. His recent publications demonstrate a strong focus on advancing ion mobility mass spectrometry techniques, with particular attention to collision cross section measurements, metabolite identification, and method development for complex biological and environmental samples. His work spans fundamental studies of ion behavior to practical applications in biotechnology, food science, and environmental analysis. Scientific Awards: Fritz Feigl Award from the Austrian Society of Analytical Chemistry (2022) Dr. Causon has successfully secured substantial research funding through numerous projects, including the EU-funded MobiliTraIN: Ion Mobility-Mass Spectrometry Training Network (2024-2028) and several industry collaborations. He has supervised multiple doctoral and master's students whose work focuses on analytical method development, metabolomics, and ion mobility applications. His laboratory maintains strong collaborations with both academic and industrial partners across Europe. As an active member of the scientific community, Dr. Causon organizes major conferences such as the IMS Symposium 2023 and serves on editorial boards and as a reviewer for leading analytical chemistry journals. His laboratory is well-equipped for advanced mass spectrometry research with multiple ion mobility-capable mass spectrometers and complementary analytical instrumentation.

Fabian GansView profile

Researcher

• Earth System Science
• Biogeochemistry
• Climate Extremes
• +7 more

Fabian Gans is a Researcher at the Max Planck Institute for Biogeochemistry, affiliated with the Department Biogeochemical Integration led by Prof. Dr. M. Reichstein. He leads the Scalable Spatiotemporal Data Structures and Analytics (SSDSA) research group and is actively involved in the Empirical Inference of the Earth System group under Dr. Miguel D. Mahecha, as well as the Energy and Earth System group under Dr. A. Kleidon. His work is central to advancing data-driven methodologies in Earth system science. His research focuses on Earth system dynamics, particularly through the development and application of Earth System Data Cubes (ESDCs), which integrate multivariate spatiotemporal datasets for robust analysis. He employs machine learning, remote sensing, and hybrid modeling to study carbon and water fluxes, climate extremes, and ecosystem responses. His work bridges observational data with modeling frameworks to improve understanding of biosphere-atmosphere interactions. The 15 most recent publications highlight a strong trend toward data integration, scalability, and the use of artificial intelligence in Earth sciences. Key themes include the FLUXCOM framework for upscaling carbon fluxes, the development of Earth System Data Cubes, analysis of compound climate extremes, and hybrid modeling approaches. His research consistently emphasizes open science, reproducibility, and the need for integrated data platforms to tackle global environmental challenges. Scientific Awards: No awards listed in the provided text. Advising and Grants: No formal advisees or students are listed. No specific grants or funding sources are mentioned, though his involvement in large collaborative projects like FLUXCOM and Earth System Data Cubes suggests participation in significant research initiatives. Labs and Teams: Fabian Gans leads the Scalable Spatiotemporal Data Structures and Analytics (SSDSA) group and is a key member of the Empirical Inference of the Earth System team. He is also involved in the DeepESDL platform, an open collaborative environment for Earth system research, indicating leadership in developing research infrastructure and fostering interdisciplinary collaboration.