Daisuke Nagai is a Professor of Physics and Astronomy at Yale University and the Director of Graduate Studies in the Yale Physics Department. His research focuses on theoretical and computational cosmology, including dark matter, dark energy, galaxy clusters, and data science. He holds a Ph.D. from the University of Chicago (2005) and a B.S. from the University of Michigan (1999). Before joining Yale in 2008, he was a Sherman Fairchild Postdoctoral Scholar at Caltech. Positions: Professor (2022–present), Director of Graduate Studies (2022–2025), Co-Director Yale Center for Research Computing (2015–2019). Awards: Stephen Murray Lectureship (2018), Cottrell Scholar (2012), IUPAP Young Scientist Prize (2011). His work uses high-resolution cosmological simulations to study galaxy cluster formation, X-ray observations, and the interplay between dark matter and baryonic processes. He also leads efforts in computational astrophysics and data-driven methods for cosmological analysis.
Dr. Dirk de Beer is the leader of the Microsensor Group at the Max Planck Institute for Marine Microbiology in Bremen, Germany. His research focuses on the structure and function of marine sediments, investigating how microbial conversions (e.g., photosynthesis, chemoautotrophy, anaerobic nitrogen/carbon/sulfur cycling) are controlled by transport processes and how microbial species distributions are regulated in hot spots like seeps, microbial mats, and biofilms. His group employs advanced techniques such as microsensors and planar optodes to study high-resolution geochemical dynamics in marine systems. Key research areas include: Biogeochemical cycling of oxygen, sulfur, and carbon Microbial community interactions in sediments and mats Environmental regulation of microbial processes Reactive oxygen species in marine environments Coral bleaching and ocean acidification Recent publications highlight collaborations on arsenic cycling, hydrogen peroxide dynamics, and microbial respiration in extreme environments. Dr. de Beer's work is central to understanding how microbial processes influence global elemental cycles and climate regulation.
Ying Sun is an Associate Professor at Cornell University's School of Integrative Plant Science, Soil and Crop Sciences Section. Her research integrates geospatial analysis, remote sensing, and ecosystem modeling to study agroecosystem-climate interactions across scales. Key research areas include: Remote sensing of Solar-Induced Chlorophyll Fluorescence (SIF) for photosynthesis quantification Developing high-resolution SIF datasets (OCO-2, ECOSTRESS) using machine learning Modeling carbon-water-energy fluxes in Earth System Models (ESMs) Assessing food-water-climate sustainability in China and Africa She teaches PLSCI 7203: Engineering Plant Sensors and PLSCI 5900: Master of Professional Studies Project . Her lab has produced notable work on Ethiopian land restoration (Nature Sustainability 2022) and Northwest China water depletion (Environmental Research Letters 2022).
Matthias Ihme is a Professor in the Department of Mechanical Engineering and Photon Science Directorate at Stanford University. His research focuses on large-eddy simulation (LES) of turbulent reacting flows, aeroacoustics, combustion-generated noise, numerical methods, and high-order schemes. He holds a Ph.D. from Stanford University (2008), an M.Sc. in Computational Engineering from the University of Erlangen (Germany, 2002), and a Dipl.-Ing. in Mechanical Engineering from Munich University of Applied Sciences (Germany, 2000). His work bridges computational fluid dynamics, combustion science, and photon science, with notable contributions to supercritical fluid dynamics, machine learning integration in fluid simulations, and high-fidelity atmospheric transport modeling. Recent research emphasizes ultrafast cluster dynamics, shock-induced interface behavior, and stochastic ignition mechanisms in advanced fuel systems. Publications highlight interdisciplinary advancements, including physics-informed ML frameworks for reacting flows and experimental studies using X-ray photon correlation spectroscopy. His projects often involve high-performance computing and collaboration with national labs like SLAC.
Susan Anenberg is a Professor and Chair of the Environmental and Occupational Health department at the George Washington University Milken Institute School of Public Health. She directs the GW Climate and Health Institute and serves as President of the AGU GeoHealth Section (2023-2024). Her research integrates epidemiology, atmospheric modeling, and policy analysis to quantify health impacts of air pollution and climate change. PhD in Environmental Science and Engineering from UNC (2011) Former EPA environmental scientist and U.S. Chemical Safety Board deputy director Key research themes include: Global air pollution burden of disease estimation Climate change health co-benefits analysis Satellite remote sensing for exposure assessment Environmental justice and exposure disparities GeoHealth policy frameworks Her recent work leverages geospatial datasets to reveal racial/ethnic disparities in NO2 exposure and develops decision-support tools for urban climate action plans. She has contributed to major publications in Lancet Planetary Health , Science , and Nature , and serves on advisory boards for EPA, WHO, and the U.S. National Academy of Sciences. Scientific engagement includes: Co-founding Environmental Health Analytics, LLC Technical advisory roles for Clean Air Act and climate policy Development of multi-modal vehicle electrification health impact models
Brandon Schmandt is a Professor in the Department of Earth and Planetary Sciences at the University of New Mexico. His research focuses on geophysics, seismology, tectonics, structural geology, and volcanology. He holds a Ph.D. from the University of Oregon (2011). His research group specializes in seismic imaging methods to study subsurface structures related to tectonic and magmatic processes. They analyze seismic data from both fieldwork and public archives, with applications to earthquake mechanics, magma storage, and explosion discrimination. Recent work emphasizes continental magmatic systems, induced seismicity in the Raton Basin, and Yellowstone's magmatic architecture. Collaborative projects include seismic array deployments and machine learning applications for signal analysis. No scientific awards are explicitly listed in the provided texts. His advising includes undergraduate and graduate students such as Wilgus, Stairs, and Maguire. No specific grants or labs are mentioned beyond his departmental affiliation.
Professor Jason Evans is a leading climate scientist at the University of New South Wales (UNSW), serving as Chief Investigator at the Climate Change Research Centre. He completed his undergraduate degrees in physics and mathematics at Newcastle University in 1996 and earned his PhD in Environmental Management from the Australian National University in 2001. After six years as a postdoctoral and research fellow at Yale University, he returned to Australia in 2007 to join UNSW's Climate Change Research Centre. Education: Bachelor's degrees in Physics and Mathematics, Newcastle University (1996) PhD in Environmental Management, Australian National University (2001) Research Interests: Professor Evans specializes in regional climate dynamics, focusing on land-atmosphere interactions and the water cycle in the context of climate change. His research integrates advanced modeling tools with extensive observational datasets, particularly emphasizing satellite-based remote sensing and earth observations . His work addresses critical questions about regional climate change impacts, including urban climate dynamics, extreme weather events, drought mechanisms, and renewable energy implications under changing climate conditions. His research spans multiple interconnected domains: from developing novel approaches for moisture source identification using Lagrangian methods , to investigating flash drought prediction using deep learning techniques , and evaluating the performance of high-resolution climate simulations across diverse geographical regions including Australia, Alaska, and Saudi Arabia. Scientific Recognition: Lead Author, IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems Member, Science Advisory Team for CORDEX (World Climate Research Programme) Editor, Journal of Climate (2016-2022) Fellow, Modelling and Simulation Society of Australia and New Zealand (2020) Biennial Medal, Modelling and Simulation Society of Australia and New Zealand (2021) Fellow, Royal Society of New South Wales (2021) Research Impact and Contributions: Professor Evans has made significant contributions to understanding regional climate change through his extensive publication record of over 50 articles since 2021. His work has advanced knowledge in areas including urban climate dynamics , drought mechanisms and prediction , extreme weather events , and renewable energy impacts under climate change . His research has informed climate policy through his role as a Lead Author for the IPCC and his involvement with international climate research initiatives like CORDEX.
Dr Ting Sun is an Associate Professor in Climate & Meteorological Hazard Risks at University College London , Department of Risk and Disaster Reduction. He earned his BEng (2009) and PhD in Hydrology (2013) from Tsinghua University , followed by a visiting period at Princeton University (2011–2012). After postdoctoral appointments at Tsinghua and the University of Reading , he held a NERC Independent Research Fellowship at Reading (2017–2022) before joining UCL in May 2022. Education PhD in Hydrology, Tsinghua University, 2013 BEng in Hydraulic Engineering, Tsinghua University, 2009 Visiting PhD Student, Princeton University, 2011–2012 Research Interests Dr Sun’s work converges on urban climate modelling across scales —from neighbourhood blocks to global grids—focusing on the impacts of weather and climate extremes such as heat waves and extreme rainfall in cities. He is the lead developer of the Surface Urban Energy and Water balance Scheme (SUEWS) and its Python wrapper SuPy , developed in collaboration with Prof Sue Grimmond’s micromet group. He also contributes as a core member of the Urban Multi-scale Environmental Predictor (UMEP) development team. His multidisciplinary expertise integrates hydro-climate dynamics, computational modelling, machine learning, built-environment processes, and public-health linkages . Research Trends from Recent Publications Across the 15 most recent articles, a clear trajectory emerges from high-resolution urban-process modelling toward integrated socio-environmental assessments . Studies published in 2024–2025 couple atmospheric models (WRF-SUEWS) with global building-morphology datasets (GLAMOUR) to quantify how cities alter rainfall patterns, temperature sensitivity, and heat-related mortality. Earlier works progressively refined SUEWS’s physical parameterisations and Python accessibility, while recent outputs leverage deep-learning remote-sensing tools (SHAFTS) and hybrid hydrological-neural architectures to deliver actionable insights for urban planning and climate adaptation. Scientific Awards & Fellowships NERC Independent Research Fellowship , University of Reading, 2017–2022 HEA Fellowship , University College London, 2023 Professional Service & Editorial Roles Topic Editor , Geoscientific Model Development (from 2025) Editorial Board Member , Scientific Data (from 2024) Peer review and consultancy for journals, conferences, and policy bodies Supervision of taught-course projects and research degrees External examining and mentoring Labs, Teams & Collaborations Dr Sun leads and collaborates within the UCL Department of Risk and Disaster Reduction , working closely with the micromet group at the University of Reading (Prof Sue Grimmond) on SUEWS/SuPy development. He is an active member of the UMEP consortium and maintains extensive international collaborations spanning Tsinghua University, Princeton, and numerous European research centres, underpinning a vibrant, interdisciplinary research network focused on urban climate resilience.
Soroosh Sorooshian is a Professor at the Samueli School of Engineering , University of California, Irvine, with joint appointments in Civil and Environmental Engineering and Earth System Science . He serves as Founding Director of the Center for Hydrometeorology and Remote Sensing (CHRS) and holds the Samueli Endowed Chair in Engineering . His expertise spans hydrometeorology, climate-water interactions, remote sensing applications, and water resource management in arid regions. Education : Ph.D. in Engineering (1978), Engineer Degree in Systems Engineering (1977), M.S. in Operations Research (1973), B.S. in Mechanical Engineering (1971). Leadership & Affiliations : Member of US National Academy of Engineering , International Academy of Astronautics , and multiple scientific bodies (AAAS, AGU, AMS, IWRA). Former advisor to NASA, NOAA, and UNESCO initiatives. Recent research focuses on machine learning integration for hydrological modeling , satellite precipitation product development , and climate change impact assessments . Key trends include deep learning for bias correction , multi-sensor precipitation fusion , and atmospheric river hydrology in California. Awards include the AGU Horton Medal , NASA Distinguished Public Service Medal , and Prince Sultan Bin Abdulaziz International Water Prize . He consults on urban flooding and surface hydrology challenges. Scientific Honors : Chinese Academy of Sciences Einstein Professorship (2014) UNESCO Great Man-Made River Water Prize (2007) AMS Walter Orr Roberts Lecturer (2009) Multiple Distinguished Educator Awards Advisory Roles : Served on committees for NASA, DOE, and World Climate Research Programme's Hydrology Commission.
Dr. Chijun Sun is an Assistant Professor in the Department of Earth and Planetary Sciences at the University of California, Davis. He holds a Ph.D. from The University of Texas at Austin (2021) and completed postdoctoral research as an ASP Fellow at the National Center for Atmospheric Research. His research focuses on paleoclimatology, utilizing biomarkers and climate models to reconstruct past climate changes and assess model performance. Key themes include orbital-to-millennial climate variability, ocean-atmosphere dynamics, and paleoextreme weather events. He integrates proxy data with high-resolution simulations to explore mechanisms driving abrupt climate shifts and their implications for future climate projections. Dr. Sun’s work emphasizes understanding climate forcings (e.g., volcanic activity, orbital changes) and their impacts on hydroclimate patterns, monsoons, and Arctic expansion. His lab recruits graduate students to advance interdisciplinary research at the intersection of geochemistry, climate modeling, and paleoenvironmental reconstruction. Current projects address the role of land-ocean interactions in Northern Hemisphere glaciation and the influence of meltwater events on deglacial climate dynamics. Education: Ph.D., The University of Texas at Austin (2021) Postdoctoral Training: National Center for Atmospheric Research (NCAR) Labs/Teams: UC Davis Paleoclimate Research Group His research bridges observational proxy records (e.g., biomarkers, isotopic analyses) with advanced climate models to address unresolved questions about climate system sensitivity and past climate extremes. Recent efforts focus on atmospheric rivers, mesoscale convective systems, and tropical cyclone dynamics under past and future climate scenarios.
Dr. Michael P. Byrne is an Associate Professor at the School of Earth and Environmental Sciences , University of St Andrews, and a Marie Skłodowska-Curie Research Fellow at the Atmospheric, Oceanic and Planetary Physics Group , University of Oxford. His research focuses on climate dynamics, monsoons, land-climate interactions, and the water cycle. He leads the Climate Dynamics Lab at St Andrews, exploring topics like cloud feedbacks, tropical climate change, and continental-ocean temperature contrasts. He completed his PhD at MIT under Paul O’Gorman. His work bridges theory, models, and observations to address fundamental climate questions, including monsoon dynamics, intertropical convergence zone behavior, and extreme temperature amplification over tropical land. Key contributions include studies on ITCZ width impacts, elevation-dependent warming, and biases in precipitation projections. Education: PhD from Massachusetts Institute of Technology (advisor: Paul O’Gorman) Research Highlights: Cloud feedback mechanisms in tropical climates Land-ocean warming contrasts and their societal impacts ITCZ dynamics and global climate modeling Awards: Marie Skłodowska-Curie Fellowship (Oxford) Labs/Teams: Climate Dynamics Lab (St Andrews), ITCZ-MIP collaboration
Dr. Christian Zeman serves as a Lecturer at the Department of Environmental Systems Science, ETH Zurich, based at the Institute for Atmospheric and Climate Science (CHN N 17.1) in Zurich, Switzerland. His research focuses on high-resolution atmospheric modeling with emphasis on kilometer-scale climate simulations and deep convection processes. Zeman's work centers on advancing regional climate modeling capabilities through rigorous model verification techniques and convection-resolving simulations. His research addresses critical challenges in simulating complex phenomena like island-induced vortex streets, tropical climate dynamics, and the impacts of reduced floating-point precision on model accuracy. Key methodologies include ensemble-based statistical verification and systematic model calibration for improved predictive reliability. Analysis of his 2020-2025 publications reveals a consistent trajectory toward higher-resolution climate modeling, with significant contributions to model intercomparison frameworks and computational efficiency optimization. His research bridges theoretical atmospheric science with practical applications in regional climate projection, particularly for island systems and tropical regions. Zeman operates within Prof. Christoph Schär's research group at ETH Zurich, contributing to cutting-edge developments in the Consortium for Small-scale Modeling (COSMO) and Integrated Forecasting System (IFS) frameworks. His work supports ETH Zurich's leadership in high-resolution climate simulation and verification methodologies.
Valerio Pascucci is a Professor at the University of Utah's School of Computing and a DOE Laboratory Fellow at Pacific Northwest National Laboratory. He directs the Center for Extreme Data Management Analysis and Visualization (CEDMAV) and previously led projects at Lawrence Livermore National Laboratory and University of Texas at Austin. PhD in Computer Science (Purdue University, 2000) MSc in Electrical Engineering (University 'La Sapienza', Rome, 1993) As a pioneer in Big Data Management , Scientific Visualization , and Computational Topology , his work connects topological methods with progressive algorithms to enable interactive exploration of petascale datasets. His research spans climate modeling , neuroscience , materials science , and precision agriculture , focusing on multi-resolution techniques and geometric compression . Recent publications show specialization in web-based visualization and AI-driven analytics for climate data, with emphasis on equity in data access and FAIR data principles . His ViSUS project enables real-time data streaming from supercomputers to desktops, while NAPA explores GPU-based architectures for streaming algorithms. Scientific Awards : Best Paper Award, IEEE Pacific Visualization 2011 Best Application Paper Award, IEEE VIS 2006 DOE Laboratory Fellow He advises numerous graduate students and leads collaborations across national laboratories , universities , and industry . Funded by NSF Grant #2127548 , he develops technologies for exascale computing and geospatial intelligence .
Professor Ana Ferreira is a leading seismologist at University College London, focusing on deep Earth structure and earthquake source processes. Her research integrates seismic and geodetic data to understand planetary dynamics from the surface to the lowermost mantle. Her work includes pioneering seismic tomography, such as the SGLOBE-rani 3D anisotropy model, and earthquake source analysis using InSAR and normal mode data. She leads the Seismological Laboratory and teaches Seismology II and Field Geophysics. Recent projects include the UPFLOW experiment, which deployed 49 ocean bottom seismometers in the Atlantic, and studies on Greenland ice sheet evolution and Tonga volcanic eruptions. Her EU-funded research emphasizes multidisciplinary data integration and numerical modeling. Key article trends cover mantle anisotropy, global tomography, earthquake source inversion, cosmology-inspired machine learning, and ocean bottom seismology applications in geodynamics and cryospheric processes.
Prof. Florian Zaussinger is a faculty member at the Faculty of Applied Computer and Life Sciences at Mittweida University of Applied Sciences. His research focuses on thermal convection, fluid dynamics, and numerical simulations in both geophysical and astrophysical contexts. He has contributed extensively to studies on microgravity experiments, including the GeoFlow and AtmoFlow projects conducted on the International Space Station (ISS). University: Mittweida University of Applied Sciences Faculty: Applied Computer and Life Sciences Department: Mathematics Contact: +49 3727 58-1381 | florian.zaussinger@hs-mittweida.de | Building 6, Room 6-131 His research involves advanced numerical modeling of complex fluid systems, including spherical convection, dielectric heating, and double-diffusive processes. He has developed and applied computational tools like the ANTARES code to simulate convection in DA white dwarfs, planetary atmospheres, and Earth's mantle. His work bridges theoretical fluid mechanics with experimental validation in space-based microgravity environments. Recent publications highlight his expertise in thermo-electrohydrodynamic convection, planetary fluid flow analysis, and microgravity-induced instabilities. While the scraped data does not list scientific awards or students directly, his academic profile emphasizes interdisciplinary collaboration with engineering and life sciences, particularly in applied mathematics for fluid dynamics and experimental data processing.
