Elmira Hassanzadeh is an Associate Professor at the Department of Civil, Geological and Mining Engineering , Polytechnique Montréal, with a focus on integrated water resource modeling and management under climate and anthropogenic changes. She is affiliated with the Global Institute for Water Security (University of Saskatchewan) and the Experimental and Digital Water Flow Engineering Group (GENIE EAU) . Education: PhD in Civil Engineering, University of Saskatchewan Postdoctoral Fellow, McGill University Research interests include climate change impact assessment, socio-hydrological modeling, stakeholder engagement in water management, and sustainable development of water systems in cold regions. Her work emphasizes decision-making under uncertainty and adaptive strategies for ungauged basins. Recent publications (2024–2020) span coastal flood hazard modeling, climate-driven hydrological changes in tropical and Canadian watersheds, evaluation of agricultural practices under warming climates, and integrated approaches to water quality and system dynamics. Keywords include Hydrology , Climate Change , Water Security , and Socio-Hydrology . Supervision: She has mentored 15+ graduate students in projects related to Lake Urmia, Saskatchewan River Basin, and climate adaptation in Africa and the Pacific.
Veronika Eyring serves as Head of the Earth System Model Evaluation and Analysis Department at the German Aerospace Center (DLR) Institute of Atmospheric Physics and Professor of Climate Modelling at the University of Bremen. She holds dual appointments at these leading institutions, directing cutting-edge research at the intersection of climate science and artificial intelligence. Education: 2008: Habilitation in Environmental Physics at the University of Bremen 1999: PhD in Physics from the University of Bremen 1994: Diploma in Physics from the University of Erlangen Professor Eyring's research program focuses on improving climate models and projections through innovative integration of machine learning techniques and spaceborne Earth observations. Her work spans process-oriented modeling, development of observationally-based performance metrics, and understanding systematic biases in climate models. She has pioneered approaches to weighting model projections based on their performance using machine learning, significantly advancing the field of climate model evaluation. Her research has critical applications across multiple sectors including aeronautics, space research, transportation, and energy systems. Analysis of her recent publications reveals a clear trajectory toward deeper integration of machine learning with traditional climate modeling approaches. Her work has increasingly focused on developing community tools like the Earth System Model Evaluation Tool (ESMValTool) and leading major international initiatives such as the USMILE project (Understanding and Modelling the Earth System with Machine Learning). The publications span climate science, machine learning, Earth system modeling, and remote sensing, with specific emphasis on climate model evaluation, parameterization techniques, and improved climate projections. Scientific Awards: AGU Ambassador Award (2024) TUM Distinguished Affiliated Professor (2024) Gottfried Wilhelm Leibniz Prize (2021) ERC Synergy Grant (2019) Thomson Reuters Highly Cited Researcher (2016-2021) Top female researchers award, Helmholtz-Society (2015) Professor Eyring actively supervises a large research group comprising PhD students working on ML-based sea ice parameterizations, causal model evaluation for air-sea interactions, and machine learning-based detection of droughts in climate projections. She leads the prestigious ERC Synergy Grant USMILE and secured significant funding through the DFG Gottfried Wilhelm Leibniz Prize. Her research group at DLR includes multiple postdocs, research scientists, and software engineers working collaboratively on climate informatics projects. Professor Eyring leads the Earth System Model Evaluation and Analysis Department at DLR, which encompasses research groups focused on CMIP model evaluation, ESMValTool development, and machine learning applications in climate science. She founded and supervises the 'Climate Informatics' Group at the DLR Institute for Data Science in Jena. Her department maintains strong international collaborations, particularly with the National Center for Atmospheric Research (NCAR) in Boulder, Colorado, where she serves as an Affiliate Scientist.
Peter Huybers is a Professor of Earth and Planetary Sciences and Environmental Science and Engineering at Harvard University , where he investigates the climate system and its societal implications, including interactions between volcanism and glaciation , extreme temperature predictability , and climate change impacts on food production . Research interests span climate change attribution , paleoclimate reconstruction , drought dynamics , crop yield modeling , and earth system feedbacks . His work often integrates art-historical analysis with climate science, as seen in studies of 19th-century air pollution through Turner and Monet paintings . Scientific awards include funding from Harvard Data Science Initiative (2023) for projects on climate change and food supply volatility Amazon Web Services (2023) grant His 20+ peer-reviewed articles since 2020 focus on climate proxies , hydrological modeling , solar forcing , and agricultural-climate interactions , with recent work in Nature , PNAS , and Science Advances . Advising : Mentored 10+ PhD students including Parker Liautaud , Duo Chan , and Marena Lin , while leading research teams with current members like Greta Berendes and Caro Park . Former staff include Jon Proctor and Lucas Vargas Zeppetello , the latter now at UC Berkeley (2024).
Sarah Kirkpatrick is a Professor at the Australian National University (ANU) in the Fenner School of Environment and Society . She is Deputy Director of Communications and Outreach for the ARC Centre of Excellence for 21st Century Weather , Chief Investigator at the ARC Centre of Excellence for Climate Extremes , and Vice President of the Australian Meteorological and Oceanographic Society . Education : BSc (Macquarie University) PhD (UNSW Sydney, 2010) Research Interests : Climate extremes, particularly heatwaves Extreme event attribution (natural vs anthropogenic drivers) Climate modeling and CMIP simulations Urban environment impacts on heatwaves Marine heatwaves and oceanic climate change Research Trends : Recent publications focus on heatwave mortality attribution (2009 Victorian heatwave), humid heat survivability thresholds, net-zero climate impacts, and interdisciplinary work with health experts. Her work integrates climate modeling with physiological vulnerability assessments to analyze age-group specific risks. Scientific Awards : 2021-2023 : Clarivate Highly Cited Researcher 2021 : Australian Academy of Science Dorothy Hill Medal 2016 : Australian Meteorological and Oceanographic Society Early Career Researcher Award Grants & Leadership : Current ANU Futures Scheme 2.0 project (2024-2028) Previously held ARC Discovery Early Career Researcher Award (2014-2017) and Future Fellowship (2017-2023) Scientific partner at the Monash Climate Change Communications Research Hub Outreach & Collaboration : A prominent science communicator in media, she collaborates with health experts, leads climate communication projects, and works with international research teams across 7+ institutions.
Drew Cameron is an Assistant Professor of Public Health (Health Policy) at the Yale School of Public Health, affiliated with the Department of Health Policy and Management and the Center for Methods in Implementation and Prevention Science (CMIPS). His research focuses on health economics, evaluating health and development programs in resource-poor and low- to middle-income country contexts. Education: PhD in Health Policy, University of California, Berkeley MA in International Development, American University School of International Service BA in International Political Economy, University of Puget Sound His work examines targeted subsidies, behavioral 'nudges,' and cost-effectiveness methods addressing healthcare access constraints. Key areas include child growth, water sanitation, HIV/AIDS, carceral health, and rural development. Recent publications highlight implementation strategies for HIV-hypertension integration, pandemic preparedness, and cost analysis frameworks. Notable Research Trends: 2025-2024: U.S. HIV workforce strengthening, Ugandan HIV-hypertension costs, and Alaska vaccine behavior analyses 2023-2019: Water delivery experiments in India, VMMC cost modeling, TB treatment economics, and HIV intervention cost repositories 2018-2014: Urban land titling impacts, healthcare quality policy in Brazil, and structural violence in pharmaceutical triage
Dr. Indrani Roy is an Honorary Associate Professor in the Department of Earth Sciences at University College London (UCL). She holds a PhD from Imperial College London and has extensive research experience at institutions including Imperial College and the University of Exeter. Previously, she served as a permanent employee at the India Meteorological Department (Government of India). She is a Fellow of the Royal Meteorological Society (FRMetS) and serves as its Trustee. Dr. Roy contributes to international scientific governance as a panel member for the UK's Natural Environmental Research Council (NERC) and the Romanian National Research Council. Her multidisciplinary research spans: Solar-atmosphere-ocean coupling mechanisms Monsoon dynamics and teleconnection patterns Climate change processes and extreme events Stratosphere-troposphere interactions Climate variability across decadal scales She actively investigates how solar cycles influence regional climates and extreme weather phenomena. Dr. Roy's publications demonstrate consistent focus on climate dynamics with recent emphasis on African and Asian monsoon systems, COVID-19 climate interactions, and improving predictive capabilities for extreme rainfall events. Her work increasingly integrates public health perspectives with climate science. Scientific Recognition: Fellow of the Royal Meteorological Society (FRMetS) Teaching & Advising: As an Associate Fellow of the Higher Education Academy (HEA), she currently teaches the Literature Project module (NSCI0004) for Natural Sciences at UCL. Her past teaching includes: Undergraduate research supervision (University of Exeter) Masters project supervision and guest lecturing (UCL) Instruction of Masters/PhD candidates (University of Oulu, Finland) Professional Engagement: Dr. Roy serves as reviewer for over 40 international journals (including Nature Geoscience and Science Reports) and grant agencies such as NSF, Royal Society, and French National Research Agency. She co-convenes sessions at major conferences (AOGS) and previously held editorial roles at Frontiers journals.
Dr. Gregory V Cesana is an Associate Research Scientist at Columbia University's Center for Climate Systems Research (CCSR), affiliated with the Columbia Climate School. He holds a B.S. (2005) and M.Sc. (2007) in Atmosphere/Ocean/Soil Remote Sensing from the University of Toulon and a Ph.D. from Sorbonne Université (2013). His career includes postdoctoral work at Caltech/NASA JPL and current collaboration with NASA GISS to improve climate models using satellite data. Research focuses on cloud processes, radiative feedbacks, and model evaluation using A-train satellite observations (CALIPSO, CloudSat). Key interests include low-cloud feedbacks, cloud-phase transitions, and reducing climate uncertainty. Projects include applying satellite data to constrain climate model biases and developing observational frameworks for future missions. Education: University of Toulon (B.S./M.Sc.), Sorbonne Université (Ph.D.) Affiliations: Columbia CCSR, NASA GISS, and international collaborations Publications highlight advancements in cloud-radiation interactions, model evaluation techniques, and Arctic/Southern Ocean climate dynamics. Expertise spans remote sensing (lidar/radar), climate modeling, and satellite data integration.
Hauke Schmidt is a Group Leader in the Department of Climate Physics at the Max Planck Institute for Meteorology (MPI-M) in Hamburg, Germany. He leads the 'Global Circulation and Climate' research group and serves as Deputy Director of the 'Atmosphere in the Earth System' department. His work focuses on climate modeling, atmospheric circulation, and climate sensitivity, using tools such as the ICON-Sapphire storm-resolving model and idealized radiative-convective equilibrium models. His research interests center on understanding how atmospheric circulation influences Earth's climate response to forcings, particularly equilibrium climate sensitivity (ECS). He investigates processes in the upper tropical troposphere, pattern effects, and the vertical structure of climate models. His work spans atmospheric dynamics, chemistry-radiation interactions, solar and volcanic forcing, climate engineering, and adjoint modeling for sensitivity analysis. The recent publications highlight a strong focus on high-resolution climate modeling (ICON-Sapphire), radiative feedbacks, stratospheric aerosol effects, volcanic and solar forcing, and model development. His work bridges theoretical atmospheric dynamics with practical Earth system modeling, contributing significantly to CMIP and GeoMIP intercomparisons. Scientific Awards and Honors: Contributing Author, IPCC AR5 WG1 (Chapter 7: Clouds and Aerosols) Advising and Grants: Hauke Schmidt has advised numerous PhD and Master’s students, including Helene Glöckner, Abisha Gnanaraj, Moritz Günther, Paul Keil, Clarissa Kroll, and Sally Dacie. He has led and participated in multiple major research projects funded by DFG, BMBF, and EU programs, such as VolImpact, CELARIT, ComparCE, EUTRACE, and IMPLICC. These projects focus on volcanic impacts, climate engineering, and solar variability. Labs and Teams: He leads the 'Global Circulation and Climate' group within the Department of Climate Physics at MPI-M. He is actively involved in the development and application of the ICON and ECHAM/HAMMOZ family of models. He has contributed to the UA-ICON extension for middle atmosphere simulations and the konrad radiative-convective model.
Timothy Andrews serves as an Associate Professor of Atmospheric Science at the University of Leeds and as an Expert Scientist in Climate Science at the Met Office Hadley Centre. He holds a joint position through the Met Office Academic Partnership (MOAP), enabling him to bridge academic research with operational climate science applications across both institutions. His academic credentials include a PhD in Atmospheric Physics (2010), MRes in Physics of the Earth and Atmosphere (2007), and MPhys in Theoretical Physics (2006), all earned at the University of Leeds. This strong physics foundation underpins his expertise in climate system dynamics. Dr. Andrews specializes in large-scale multi-decadal climate change processes, with particular focus on heat uptake, radiative forcing, and climate feedbacks at regional to global scales. His research integrates observational analysis, theoretical frameworks, and climate modeling to understand the fundamental mechanisms of climate change. He is especially recognized for his work on Earth's energy balance, climate sensitivity, and pattern effects that influence regional climate responses. His approach emphasizes physical understanding to improve the reliability of climate projections. His recent publications demonstrate a consistent focus on critical climate science questions, particularly examining Earth's energy imbalance constraints, Southern Ocean sea ice dynamics, and the relationships between sea surface temperature patterns and atmospheric responses. These works contribute significantly to refining climate model performance and understanding the physical constraints on future climate change. Dr. Andrews is actively engaged in major international climate research initiatives, including leadership roles in CMIP workshops examining radiative forcing in models. His work connects fundamental climate science with practical applications for climate monitoring and prediction through his dual affiliation with the University of Leeds and the Met Office. He is affiliated with the Institute for Climate and Atmospheric Science at the University of Leeds, contributing to a vibrant research community focused on interdisciplinary approaches to understanding Earth's climate system through observations, modeling, and theoretical analysis.
Associate Professor Andrea Taschetto is a climate scientist at the Climate Change Research Centre within the Faculty of Science at the University of New South Wales (UNSW). She holds a PhD in Physical Oceanography from the University of São Paulo (USP), Brazil, where she also completed her MSc and BSc in Physics. She is recognized for her research on climate variability and ocean-atmosphere interactions, with particular focus on El Niño Southern Oscillation (ENSO) and its impacts on regional climate patterns. Dr. Taschetto's research interests center on understanding how oceans affect regional climate, with specific emphasis on climate variability, atmospheric teleconnection patterns, interactions across tropical ocean basins, and future climate projections. Her work explores how large-scale sea surface temperature patterns impact rainfall variability and drought over Australia and other regions. She is particularly interested in how different types of ENSO influence atmospheric circulation, regional climate, and interact with other oceanic basins. Her research has significant implications for understanding and predicting climate extremes and their impacts on water resources and agriculture. Her recent publications demonstrate a strong focus on Australian climate extremes, ocean basin interactions, drought mechanisms, and climate model evaluation. Her work frequently appears in high-impact journals including Nature Reviews Earth and Environment, Geophysical Research Letters, and Journal of Climate. She has made significant contributions to understanding the connections between tropical climate variability and Australian rainfall patterns, as well as the mechanisms behind major drought events. Australian Academy of Science Dorothy Hill Award for excellence in Earth sciences research ARC Future Fellowship (2017) ARC Post Doctoral Fellowship (2010) São Paulo Research Foundation (FAPESP) Fellowship, Brazil (2010) UNSW Gold Star Award (2009) Dr. Taschetto actively supervises PhD students including Nicholas Grosfeld, Michael Eabry, Annette Stellema, Sebastian McKenna, Quincy Forest, and Iara Scricco. She has been involved in numerous research grants, including the ARC Centre of Excellence for Climate Extremes (2022-2024) and the ARC Future Fellowship project 'Tropical ocean interactions and implications for regional climate' (2017-2021). She serves on the CLIVAR Pacific Regional Panel and is an Associate Editor for the Journal of the Southern Hemisphere Earth System Science. As the CCRC Undergraduate Coordinator at UNSW, she also teaches CLIM1001/GENS0401 - Introduction to Climate Change, an online course for first-year undergraduate students.
Kevin M. Grise is an Associate Professor in the Department of Environmental Sciences at the University of Virginia, Charlottesville, VA, USA. His research focuses on atmospheric dynamics, cloud radiative effects, and their role in climate system variability and long-term change. Ph.D. from Colorado State University (2011) Specializes in Southern Hemisphere climate dynamics, Hadley circulation changes, and cloud-storm track interactions Research Interests : Grise investigates cloud-circulation feedbacks in climate models, particularly how poleward jet shifts influence cloud patterns and radiative budgets. His work bridges observational data (e.g., CloudSat/CALIPSO) with CMIP6 simulations to reduce climate projection uncertainties. Article Trends : His publications emphasize atmospheric circulation responses to greenhouse gas forcing, tropical expansion mechanisms, and cloud radiative effects. Key themes include storm track variability, cloud feedback to annular modes, and model evaluation against observational benchmarks. Grants : Funded by NSF Grant AGS-1752900 and NASA FINESST Grant 80NSSC22K1437. Teaching : Courses include Atmosphere and Weather (EVSC 3300) , Global Climate Variability Seminar (EVSC 4452) , and advanced topics in atmospheric dynamics.
Ben Harvey is a Research Scientist at the National Centre for Atmospheric Science (NCAS) within the Department of Meteorology at the University of Reading. His research focuses on dynamical weather processes, particularly jet streams, storm tracks, climate variability, and high-impact weather events. He contributes to projects like CANARI and THINICE, investigating oceanic and atmospheric interactions influencing UK climate extremes. Harvey's work integrates observational data and advanced climate models to understand future climate change impacts on weather systems. He collaborates with international teams on field campaigns and model development, addressing questions about jet stream dynamics, Arctic cyclones, and model accuracy for extreme weather prediction. His affiliations include the Dynamical Processes Group and Mesoscale Group at Reading, alongside NCAS. Key research areas span climate predictability, teleconnections, and the role of diabatic processes in atmospheric dynamics. Harvey has authored or co-authored over 35 peer-reviewed articles, focusing on topics ranging from North Atlantic jet stream changes to the impacts of anthropogenic aerosols on atmospheric circulation.
Yi Huang is an Associate Professor in the Department of Mathematics and Statistics at UMBC since 2007, specializing in biostatistics with a focus on causal inference and public health. She holds a Ph.D. in Biostatistics from Johns Hopkins University (2007) and has been a key contributor to interdisciplinary research at the interface of statistics and public health/medicine/biology. Her work emphasizes methodological innovation in comparative effectiveness research, personalized medicine, and post-marketing safety evaluations. Education: Ph.D. in Biostatistics, Johns Hopkins University Bloomberg School of Public Health (2007) NASA Graduate Fellowship recipient (1999) for aerosol-cloud interaction research Research Interests: Causal inference methodologies, including latent propensity score frameworks Comparative effectiveness research (CER) and meta-analysis Applications in gerontology, environmental health, and maternal/child health Statistical design for evaluating traditional Chinese medicine Grants and Awards: NIH R01 Grant Co-PI ($897,348) for pediatric care coordination study (2015–2020) National Institute of Aging Grant ($77,289) for hip fracture studies (2014–2015) Two FDA Critical Path Grants ($50,000 each) for causal methodology development (2008–2011) NASA Graduate Fellowship (1999) Professional Activities: Member: American Statistical Association, International Biometric Society, American Gerontology Society NIH Grant Reviewer (NIDDK), FDA External Reviewer Editorial Board: Internet Journal of Mental Health Teaching and Mentoring: Developed courses in biostatistics principles, categorical data analysis, and longitudinal methods Advised over 20 graduate students across statistics and interdisciplinary programs Focus on critical thinking and real-world application in pedagogy
Ajaya Ravindran is a Visiting Professor in Meteorology at the Department of Geography, Ohio University, within the College of Arts and Sciences, USA, a position he has held since August 2024. He has previously served in significant academic and research roles including Associate Professor at Abu Dhabi Polytechnic, Visiting Scientist at New York University Abu Dhabi, and Senior Research Scientist at the Centre for Prototype Climate Modelling. His career spans institutions in Canada, Japan, India, and the United States, reflecting a globally engaged research profile. His educational background includes: PhD in Atmospheric & Oceanic Sciences, Indian Institute of Science, Bangalore (2001) M.Tech in Atmospheric Sciences, Cochin University of Science and Technology (1995) M.Sc/PGDCA in Applied Physics/Computer Applications, Gandhigram Rural University (1993) B.Sc in Physics, University College, University of Kerala (1990) Ajaya Ravindran's research centers on climate modeling and monsoon dynamics, with a focus on South Asia and the Middle East. His work investigates climate extremes, monsoon variability, the simulation of Madden-Julian Oscillations (MJO) in GCMs, CMIP model evaluation, and regional climate modeling. He explores how large-scale climate patterns like ENSO, IOD, and Atlantic Zonal Mode influence monsoon behavior and extreme weather events. His studies often combine observational analysis with high-resolution and coarse-resolution climate model simulations. The 15 most recent publications demonstrate a consistent focus on monsoon systems, tropical dynamics, and climate change impacts. They span disciplines including atmospheric science, climate modeling, oceanography, and hydrometeorology. Key themes include monsoon rainfall mechanisms, cyclone dynamics, diurnal cycles in the Maritime Continent, urban climate effects, and fog formation in arid regions. His work frequently involves collaboration with international teams and utilizes models such as WRF and GCMs. No scientific awards are explicitly mentioned in the provided text. Dr. Ravindran has taught a wide range of meteorology courses including Introduction to Meteorology, Tropical Meteorology, Atmospheric Dynamics, Numerical Weather Prediction, and Planetary Boundary Layer Meteorology. While no formal advisees are listed, his extensive publication record with junior researchers suggests active mentorship and team leadership. He has been involved in climate modeling projects funded by institutions such as New York University Abu Dhabi and the Canadian Centre for Climate Modelling. He has contributed to major research initiatives including the Centre for Prototype Climate Modelling and the NEPTUNE Canada network, indicating participation in large-scale observational and modeling efforts. His work on climate data management and simulation suggests involvement in both theoretical and applied aspects of meteorology.
Rune Grand Graversen is a Professor at the Department of Physics and Technology , UiT The Arctic University of Norway. His research focuses on Arctic meteorology, climate dynamics, and sea-ice-atmosphere coupling, with expertise in climate modelling and extreme weather events. Arctic warming mechanisms Atmospheric energy transport Polar lows dynamics Sea ice prediction Climate sensitivity Feedback processes His recent publications (2022-2025) emphasize climate sensitivity analysis, energy transport decomposition, and Arctic amplification, utilizing satellite data, climate models, and mathematical methods like wavelet analysis. No scientific awards are mentioned in the provided text. Group Leader, Complex Systems Modelling Member, Intermittent Fluctuations in Physical Systems project
