Gabriel Pasquet is a Postdoctoral Fellow at the Bureau of Economic Geology, University of Texas at Austin. His work focuses on carbon sequestration, enhanced oil recovery, and seismicity, with a strong emphasis on Permian Basin studies and the energy-water nexus. Current affiliation: Bureau of Economic Geology, University of Texas at Austin Position: Research Fellow Pasquet's research spans multiple disciplines, including: Carbon storage security and CO2 injection methodologies Seismic risk assessment from fluid injection activities Hydrological modeling integrating satellite data and machine learning Basin tectonics and stress field characterization Permafrost dynamics in Arctic environments Coastal system modifications and sediment transport Recent publications highlight his expertise in: Geological CO2 sequestration optimization Seismotectonic analysis of Midland Basin Formate-based oil recovery techniques Environmental impacts of energy development His work frequently intersects with: Energy economics Geophysical monitoring Reservoir characterization Machine learning applications in hydrology
Lukas Raffl is a Researcher at the Chair of Engineering Geodesy , Technical University of Munich , specializing in Alpine natural hazard monitoring and laser scanning since 2018. He holds an M.Sc. in Geodesy and Geoinformation from TUM (2017) with a focus on Engineering Geodesy & GIS , following his B.Sc. in the same field (2015). His research spans geo-monitoring , deformation measurement , and scanning total stations , particularly for rockfall and landslide prevention . Education B.Sc. Geodesy & Geoinformation, TUM (2015) M.Sc. Geodesy & Geoinformation, TUM (2017) Research Focus Alpine climate-induced natural hazards Laser scanning for deformation analysis GNSS monitoring systems Supervised point cloud matching Teaching Lecturer & exercise instructor for Introduction to Computer Science for Engineers , Surveying , and Sensor Technology courses Supervisor for 10+ Master/Bachelor theses on alpine monitoring and laser scanning Publications 15+ peer-reviewed articles (2020–2025) on TLS workflows, photogrammetry, and deformation analysis Key projects: SigScan , AlpSenseBench , and AlpSenseRely (2018–2024) Collaborations Active in international symposia (JISDM, INGEO&SIG, VGC) Contributor to Springer Handbook for Civil Engineers (2019)
Juliane Mai is a Research Associate Professor at the University of Waterloo's Department of Earth and Environmental Science and a former Research Scientist at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig. Her work focuses on computational hydrology, model calibration, sensitivity analysis using high-performance computing, and data dissemination tools like HydroHub and CaSPAr. She develops blended hydrological models that combine multiple process implementations and leads large-scale intercomparison projects (GRIP-E, GRIP-GL) across North America's 3,000+ basins. Her research bridges environmental modeling with machine learning and data science, emphasizing open-access platforms for stakeholders. Key projects: GRIP-E/GRIP-GL model intercomparisons Methodological innovations: xSSA, EEE, MVA sensitivity techniques Created data portals: HydroHub for visualization, CaSPAr for climate data Her 2023 Journal of Hydrology paper outlines calibration strategies for environmental models, while 2022 Nature Communications work quantifies process sensitivities across North America. She received the 2023 ASCE-EWRI best case study award for GRIP-E research and serves on editorial boards like Journal of Hydrology .
Hartmut Schulz is a Scientist at the University of Tübingen within the Department of Geosciences, specifically in the Geo- und Umweltnaturwissenschaften workgroup. He serves as Head of the Scanning Electron Microscopy Laboratory and Marine Sediment Curator. His academic career includes roles as Research Scientist at institutions like the Bundesanstalt für Geowissenschaften und Rohstoffe Hannover and the Institut für Ostseeforschung Rostock-Warnemünde. He holds a Dr. rer. nat. from Kiel University (1994) following studies at Würzburg and Kiel. His research focuses on marine geology, paleoclimatology, and sedimentary processes. Key interests include modern planktic foraminifera, monsoon reconstruction, and advanced microscopy techniques. Schulz has participated in over 20 international oceanographic expeditions, including cruises in the Arabian Sea, Mediterranean, and Arctic regions. He leads projects such as POSEIDON Reise POS514 and BIOCAN-2, investigating sediment proxies and climate change impacts. Teaching responsibilities include courses on Marine Geology, Paleoclimatology, and Electron Microscopy. He is affiliated with organizations like the Geologische Vereinigung and the American Geophysical Union. With 208+ publications and 5,535 citations (as of 2023), his work spans sediment core analysis, climate variability, and interdisciplinary oceanographic studies. Key contributions include studies on Arabian Sea monsoonal variability, Holocene climate dynamics, and glacial-interglacial transitions. His lab facilities support microanalytical research, while fieldwork emphasizes high-resolution sediment coring and environmental monitoring in oxygen-minimum zones.
Jordi Muñoz Mari is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. He is a key member of the Image and Signal Processing (ISP) research group within the Image Processing Laboratory (IPL), a recognized research institute (ERI) at the university. His research focuses on the intersection of artificial intelligence, remote sensing, and environmental science. Key areas include machine learning for Earth observation, biophysical parameter retrieval, crop yield forecasting, climate modeling, and causal inference in ecological systems. He also explores applications of AI in education, particularly generative models for assessment and digital learning tools. The most recent publications highlight a strong trend toward physics-aware machine learning, uncertainty quantification, and large-scale applications using platforms like Google Earth Engine. His work spans climate extremes (medicanes, hurricanes, droughts), agricultural monitoring, biodiversity, and educational technology, demonstrating interdisciplinary innovation. Jordi Muñoz Mari completed his PhD at the University of Valencia in 2004 on telemonitoring systems for cardiac patients. His ongoing research involves advanced signal processing, kernel methods, and AI-driven geoinformation systems.
Ian Hellebosch is a doctoral researcher and fellow at the Faculty of Sciences, Ghent University , working in the Department of Physics and Astronomy . His research focuses on urban climate modeling , heat stress projections , and climate change adaptation in African cities . Research Interests : Urban heat islands, micro-scale climate modeling, heat stress monitoring, climate resilience, and stakeholder collaboration. Projects : Investigating fine-scale climate projections of heat stress in fast-growing cities (2022-2026) through Ghent University's research initiatives funded by regional and community sources. Scientific Tools : Contributing to the development of MetObs , an open-source Python toolkit for processing non-traditional meteorological observations.
Allison Michaelis is an Assistant Professor in the Department of Marine, Earth and Atmospheric Sciences at North Carolina State University. Her research focuses on high-impact weather systems and their evolution under climate change, utilizing high-resolution modeling to study phenomena like tropical cyclones, atmospheric rivers, and snow storms. She holds a dual BS in Meteorology and Mathematics from NC State (2012), followed by MS (2015) and PhD (2019) in Atmospheric Science from the same institution. Before joining NC State, Dr. Michaelis served as a postdoctoral researcher at the Center for Western Weather and Water Extremes (Scripps Institution of Oceanography) and previously held an Assistant Professor position in the Department of Earth, Atmosphere, and Environment at Northern Illinois University. Her work emphasizes short-term predictability challenges involving mesoscale frontal waves and synoptic-scale weather events. No specific grants, awards, or lab affiliations are detailed in the provided text. Her research group is part of the broader Faculty network at NC State's College of Sciences.
Orhan Akyılmaz serves as a Professor in the Department of Geomatics Engineering at Istanbul Technical University, Turkey, with continuous research activity since 2004. His work bridges geodetic science with environmental monitoring through satellite gravity missions and advanced computational methods. His research focuses on satellite gravity field modeling (GRACE/GRACE-FO missions), machine learning applications for hydrological monitoring, and geodetic algorithm development . Key contributions include deep learning-aided temporal downscaling of water storage data, high-resolution gravity field products, and optimized topographic correction algorithms using digital elevation models. His fingerprint reveals strong expertise in Fuzzy Inference Systems (100%), Earth Rotation Parameters (72%), and Quaternion-based transformations (66%). Recent publications (2022-2024) demonstrate a pronounced trend toward integrating deep learning with satellite geodesy to address water resource challenges, particularly in groundwater monitoring and gap-filling between satellite missions. His work consistently targets practical environmental applications while advancing computational geodesy. Scientific recognition includes: TUJK Bilim Ödülü (Science Award) from the Turkish National Union of Chambers of Survey Engineers (2011) He secured TÜBİTAK funding (2020-2023) for the project "Grace ve Çoklu-Görev Uydu Uzaktan Algılama Verileri ile Yüksek Çözünürlüklü Yeraltı Su Bütçesi İzleme Sistemi" (High-Resolution Underground Water Budget Monitoring System). His supervised work encompasses 8 students, though specific names aren't provided in source materials.
Ryan King is a senior researcher at the National Renewable Energy Laboratory (NREL), focusing on optimization, machine learning, and uncertainty quantification applied to energy systems and turbulent flows. He leads projects involving physics-informed deep learning for wind energy systems, wind farm modeling, and multi-fidelity uncertainty quantification. His educational background includes a PhD in Mechanical Engineering from the University of Colorado and a Bachelor's from MIT. He has worked on over 750 MW of wind energy projects prior to his research role. Key research interests include turbulent flows, deep learning applications in energy, stochastic optimization, and adjoint methods. He has received the NREL Outstanding Mentor Award in 2018 and 2019. His work bridges computational science with energy innovation, addressing challenges in wind farm design, climate change impacts, and renewable energy systems through advanced AI and data-driven methodologies.
Professor Barış Önol is a leading climate scientist at Istanbul Technical University's Department of Meteorological Engineering. His research focuses on regional climate modeling, atmosphere-ocean interactions, and climate change impacts in the Mediterranean and Black Sea regions. Regional Climate Modeling Ocean-Atmosphere Coupling Climate Extremes Analysis Wind Energy Resource Assessment His recent peer-reviewed publications examine medicanes (Mediterranean hurricanes), CMIP6-driven wind variability, and sensitivity of coastal water circulation to atmospheric forcing. These works integrate climate modeling with hydrological impact assessments and renewable energy applications. Dr. Önol leads multiple national research projects including high-resolution precipitation modeling for Istanbul and community climate simulations for heatwaves in Turkey. His work has been cited over 938 times, with a Scopus h-index of 14.
Yangming Ou is a researcher at Boston Children's Hospital's Fetal Neonatal Neuroimaging and Developmental Science Center and Computational Health Informatics Program . He specializes in medical image analysis, machine learning, and imaging informatics, with a focus on neonatal and pediatric brain conditions. PhD in Medical Image Analysis, University of Pennsylvania MS in Applied Mathematics, University of Pennsylvania BS in Electrical Engineering (Biomedical Division), Tsinghua University His research spans brain development , neuroimaging , and AI-driven healthcare , addressing mild (e.g., nutrition insufficiency), moderate (e.g., hypoxic ischemic injury, Sturge-Weber Syndrome), and severe conditions (e.g., pediatric brain tumors). Recent work includes deep learning for MRI segmentation , federated learning , and brain age prediction . Selected article trends include multi-modal MRI analysis for disease subtyping, neonatal brain injury datasets , and AI applications in neurocognition . Publications also explore maternal behavior impacts on infant neurodevelopment and technical challenges in deformable image registration.
Matija Kovacic is a Researcher at the Department of Economics of Ca' Foscari University of Venice. His research focuses on health economics , immigration studies , and behavioral economics , examining topics such as the health impacts of loneliness, socioeconomic determinants of well-being, and the role of economic preferences in immigration tolerance. Recent publications analyze health disparities among sexual minorities (2025), historical roots of loneliness affecting immigrant health (2024), and healthcare access inequalities during crises (2024). His work frequently utilizes European datasets like SHARE and engages with interdisciplinary themes at the intersection of economics, public health, and social policy. Collaborations with scholars like Cristina Elisa Orso and Elizabeth Casabianca highlight his focus on longitudinal studies and socioeconomic determinants . While no formal awards are listed, his output spans journal articles, working papers, and book chapters in high-impact venues such as the Journal of Population Economics and Journal of Economic Behavior & Organization .
Professor Nancy Bertler is a leading Antarctic climate researcher holding a joint appointment with Victoria University of Wellington and Earth Sciences New Zealand, where she serves as Professor of Earth Sciences at the Antarctic Research Centre. She leads the National Ice Core Research Facility and has spearheaded numerous major Antarctic research initiatives including the Roosevelt Island Climate Evolution (RICE) Programme, the Antarctic Science Platform (ASP) as its inaugural Director (2018-2025), and currently the Antarctic Sea-Ice Switch Programme (2024-2029). Joint appointment: Victoria University of Wellington & Earth Sciences New Zealand Leadership roles: National Ice Core Research Facility, RICE Programme, Antarctic Sea-Ice Switch Programme International representation: Co-Chair of International Partnerships in Ice Core Sciences, New Zealand Alternate Delegate to SCAR Bertler's research focuses on the recovery, analysis, and interpretation of high-resolution ice core records from coastal Antarctica to better understand the continent's response to—and influence on—future global climate change. Her pioneering work targets ice core records from Antarctic coastal regions, which provide complementary information to deep ice core records from the Antarctic interior. She has led 13 major Antarctic field campaigns involving multiple nations, with cumulative field work exceeding 30 months in Antarctica. Her research spans ice core chemistry, paleoclimate reconstruction, sea ice dynamics, atmospheric circulation patterns, and the relationship between Antarctic climate and global climate systems. Her publication record demonstrates significant contributions to understanding Antarctic climate history, with recent work focusing on mineral dust transport, sea ice dynamics, ice sheet behavior during past warm periods, and the development of new ice core proxies. The trends in her research show an increasing emphasis on understanding abrupt climate changes and their implications for future sea level rise under continued global warming. Scientific Awards: Rutherford Discovery Fellowship (2011/2012) Blake Leader Award from Sir Peter Blake Trust (2016) 2019 Prime Minister's Science Prize as part of the Melting Ice and Rising Seas team As an educator and mentor, Bertler established the course 'Climate Change and New Zealand's Future' at Victoria University and has actively supported numerous students, many of whom now work in leading international ice core research groups. She serves as scientific advisor to New Zealand's delegation to the Antarctic Treaty Consultative Meeting and has presented to the New Zealand parliament on Antarctic ice sheet vulnerability. Her current research portfolio includes substantial grant funding through the Ministry of Business, Innovation and Employment, Royal Society Te Apārangi, and Antarctica New Zealand for projects investigating West Antarctic ice sheet stability, sea ice dynamics, and climate history. Bertler leads multiple significant research teams including the internationally collaborative Antarctic Sea-Ice Switch Programme involving eight nations, the Tiaki Moana programme within the Antarctic Science Platform, and the Roosevelt Island Climate Evolution project. Her laboratory infrastructure includes the National Ice Core Research Facility at GNS Science, one of the most advanced facilities of its kind globally, and the Victoria University 1000m ice coring system, one of only four such systems worldwide.
Andrea Pozzer serves as Group Leader in the Atmospheric Chemistry department at the Max Planck Institute for Chemistry in Mainz, Germany, a position she has held since July 2012. She additionally holds an Adjunct Associate Professor position at The Cyprus Institute since April 2022 and teaches Global Biogeochemical Cycles at the International Centre for Theoretical Physics in Trieste. Her research focuses on atmospheric composition, climate interactions, and air quality using advanced numerical modeling approaches spanning from box models to Earth system models. Dr. Pozzer's research interests center on atmospheric chemistry and its interactions with physical mechanisms controlling gas and aerosol transport. Her group employs multiple modeling approaches to study atmospheric composition change, air quality impacts, and planetary health. Key research areas include biogeochemical cycles, climate-chemistry interactions, and the development of numerical models for interpreting observational data from field campaigns and satellite remote sensing. The group's work spans from process studies at specific locations to global-scale Earth system interactions. Her recent publications reveal a strong focus on air pollution health impacts, atmospheric oxidant chemistry changes from land cover conversion, biogenic volatile organic compounds in tropical regions, and advanced modeling techniques for chemical processes. The research demonstrates significant interdisciplinary connections between atmospheric science, public health, and climate policy, with particular emphasis on regional pollution impacts across Europe, Asia, and the Amazon basin. Editorial Board Member of Atmospheric Chemistry and Physics Editorial Board Member of Elementa Member of DKRZ (Deutsches Klimarechenzentrum) User Group Italian Scientific Habilitation to Full Professor for Geophysics (2016) Italian Scientific Habilitation to Associate Professor for Astrophysics (2016) Dr. Pozzer has supervised numerous students and postdoctoral researchers, many of whom have gone on to contribute significantly to atmospheric science. Her group has received computational resources through DKRZ and MPCDF supercomputing centers. Current teaching includes Atmospheric Modeling at The Cyprus Institute and Global Biogeochemical Cycles at ICTP. Her group maintains active collaborations across Europe and internationally, particularly with institutions in Italy and Cyprus. The Pozzer Group develops and applies numerical models ranging from box models to global Earth system models to analyze observational data. They maintain strong connections with field campaign data and satellite observations, with particular focus on understanding atmospheric composition changes and their health and climate implications. The group actively participates in international modeling initiatives and contributes to community modeling frameworks like MESSy.
Jana Fischereit is a researcher at the Department of Wind and Energy Systems, Technical University of Denmark. Her work focuses on offshore wind energy systems, wind-wave-wake interactions, and their impacts on weather forecasting and climate modeling. She contributes to projects like DTWO (Federated Digital Twins for Wind-Offshore) and Weather2X, which integrate renewable energy with weather forecasting technologies. Key Projects: DTWO, Weather2X, IEA Wind Task 54 Research Areas: Offshore Wind Energy, Mesoscale Modeling, Wind-Wave-Wake Interactions Her research explores how offshore wind farms influence surface waves, atmospheric dynamics, and power systems. She employs coupled numerical simulations (e.g., WRF-LES and SWAN) to study wake effects, air-sea fluxes, and environmental impacts. Recent publications prioritize wind-wave interactions, wake parametrization, and climate change mitigation through renewable energy. Jana collaborates with institutions like the National Centre for Climate Research and participates in international conferences. She supervises PhD student S. Hamzeloo on wave-wind interactions. Her work aligns with UN Sustainable Development Goals 7 (Affordable Energy) and 13 (Climate Action). Contact: janf@dtu.dk
