Dr. Andrew Yool is a research scientist at the Marine Systems Modelling group of the National Oceanography Centre, Southampton. His work focuses on marine biogeochemical cycles and plankton ecosystem modeling, with significant contributions to understanding oceanic nitrogen and carbon cycles. Developed the MEDUSA biogeochemical model within UKESM1 Extensive publication record on ocean biogeochemistry (over 40 papers) Former committee member of NERC’s Ocean Acidification Programme and NOC Awards Committee His research interests span multiple interconnected domains of ocean science: Global and regional marine biogeochemical modeling Plankton ecosystem dynamics and biological pump efficiency Nitrate regeneration and surface nitrification processes Impacts of climate change and geoengineering on ocean systems Deep-sea ecosystem modeling and biomass projections Article analysis reveals a strong focus on ocean-climate interactions across diverse marine environments, with particular attention to nutrient cycling and ecosystem responses to environmental change. Key methodologies include global biogeochemical models , isotope analysis , and process-oriented simulations of marine systems.
Dr. Hailong He is an Associate Professor and Canada Research Chair (Tier 2) in Water Resource Management for Sustainable Agriculture at the University of Manitoba , specifically within the Faculty of Agricultural and Food Sciences . His research program focuses on critical soil-water-climate interactions in cold and arid regions through field measurements, advanced sensor development, and numerical modeling. Education: PhD in Water and Land Resources, University of Alberta BSc in Soil and Water Conservation, Northwest A&F University Dr. He's research centers on understanding and improving water resource management in agricultural systems. Key areas include soil physics , critical zone hydrology , thermal conductivity modeling , and climate change adaptation in croplands. His program develops multifunctional sensors for soil hydrothermal properties and investigates beneficial management practices to enhance agricultural resilience. Recent publications highlight expertise in applying machine learning algorithms (LSTM, CNN) to soil moisture and temperature modeling, hydrological impacts of conservation practices , and soil process quantification in seasonally frozen environments. His work spans experimental studies, numerical modeling, and extensive meta-analyses across diverse regions. Scientific Recognition: Canada Research Chair (Tier 2) in Water Resource Management for Sustainable Agriculture Dr. He's program integrates sensor development , land surface modeling , and remote sensing for soil erosion risk mapping. His research has significant implications for climate change resiliency , sustainable agricultural practices , and hydrological modeling in cold regions. He actively develops digital mapping techniques for soil properties and contributes to global soil science trends through scientometric analyses. Contact: hailong.he@umanitoba.ca
Dr. Deborah Tangunan is a Research Fellow in Micropalaeontology at University College London (UCL), affiliated with the Palaeontology Research Group and The London Geochemistry and Isotope Centre. Her research bridges paleoceanography, biogeochemistry, and climate science through the study of marine microfossils. She specializes in reconstructing historical climate dynamics using multidisciplinary methods including: Morphometric analysis (SYRACO/C-Calcita) of coccolithophores/nannofossils Geochemical measurements of trace elements/isotopes in carbonates Proxy-model integration with CMIP/PlioMIP datasets Her NERC-funded ChaSE project examines Cretaceous marine ecosystem resilience to climate change through integrated fossil, geochemical, and museum collection analyses. Dr. Tangunan actively communicates science via Twitter (@dntangunan, @TickTockIGT) and maintains collaborative research in paleoclimate reconstruction techniques.
Lai-yung Ruby Leung is a Battelle Fellow at Pacific Northwest National Laboratory (PNNL) working in Earth Systems Analysis & Modeling. She serves as Chief Scientist of the Energy Exascale Earth System Model (E3SM) supported by the U.S. Department of Energy, leading major efforts to develop state-of-the-art capabilities for modeling human-Earth system processes on high-performance computers. Dr. Leung's research broadly spans climate and hydrological cycle modeling with expertise in land-atmosphere interactions, orographic processes, monsoon climate, and climate extremes. Dr. Leung earned her educational credentials from prestigious institutions: Ph.D., Atmospheric Science, Texas A&M University M.S., Atmospheric Science, Texas A&M University B.S. (Honors), Physics & Statistics, Chinese University of Hong Kong Her research interests focus on regional and global climate modeling , land-atmosphere interactions , and the regional hydrologic cycle . She investigates orographic precipitation mechanisms, climate extremes, climate variability and change, and aerosol-cloud interactions. Her work integrates advanced modeling techniques with observational data to understand complex Earth system processes, with research featured in Science , Popular Science , Wall Street Journal , and National Public Radio . Dr. Leung has published over 500 peer-reviewed papers and serves as an editor for the American Meteorological Society's Journal of Hydrometeorology . Analysis of Dr. Leung's recent publications reveals her leadership in developing and applying the Energy Exascale Earth System Model (E3SM), with significant contributions to understanding mesoscale convective systems, soil moisture dynamics, urban hydrology, and climate extremes. Her work demonstrates increasing integration of machine learning techniques with traditional climate modeling approaches, particularly in model evaluation frameworks and high-resolution simulations. She maintains strong focus on practical applications of climate science for understanding water resources, extreme weather events, and climate change impacts. Dr. Leung's scientific recognition includes: Election to the National Academy of Engineering (NAE) Election to the Washington State Academy of Sciences (WSAS) Fellow of the American Geophysical Union (AGU) Fellow of the American Meteorological Society (AMS) Fellow of the American Association for the Advancement of Science (AAAS) AMS Hydrologic Sciences Medal (2022) U.S. Department of Energy Office of Science Distinguished Scientist Fellow (2021) Reuter's Hot List of top 1,000 most influential climate scientists (2021) AGU Jacob Bjerknes Lecture (2020) AGU Bert Bolin Global Environmental Change Award (2019) As Chief Scientist of E3SM, Dr. Leung leads major research initiatives funded by the Department of Energy and has organized key workshops sponsored by DOE, NSF, NOAA, and NASA. She has served on numerous advisory panels and National Academies committees that define future priorities in Digital Twin, AI/ML, climate modeling, hydroclimate, and water cycle research. Her professional service includes membership on the Board on Atmospheric Sciences and Climate of the National Academies, council membership with the American Meteorological Society, and editorial roles for prominent journals. Dr. Leung directs research within PNNL's Earth Systems Analysis & Modeling group, collaborating with national and international climate research teams. She leads efforts to advance the Energy Exascale Earth System Model (E3SM), which represents cutting-edge capabilities in modeling human-Earth system processes. Her work connects with multiple PNNL research areas including atmospheric science, global change, and coastal science, contributing to the laboratory's mission of addressing complex environmental challenges through scientific innovation.
Donna Spiegelman serves as the Susan Dwight Bliss Professor of Biostatistics at Yale School of Public Health, Professor of Statistics and Data Science at Yale University, and Professor of Medicine (Cardiovascular Medicine) at Yale School of Medicine. She is also the Director of the Center for Methods in Implementation and Prevention Science (CMIPS) and Assistant Director of Global Oncology at Yale Cancer Center. Her academic appointments span multiple departments including Biostatistics, Statistics, Medicine, and various research centers across Yale's health sciences campus. Dr. Spiegelman earned her ScD in Biostatistics and Epidemiology from Harvard School of Public Health in 1989, following an MS in Biostatistics (1985) and BA in Psychology from Brandeis University (1977). Before joining Yale in 2018, she spent nearly 30 years as a professor at Harvard T.H. Chan School of Public Health. As one of the few researchers with a joint doctorate in biostatistics and epidemiology, she uniquely bridges these disciplines to address complex public health challenges. Her research focuses on implementation science, prevention science, and biostatistical methodology development. She examines barriers to implementing evidence-based interventions and develops statistical methods to address these challenges, including stepped-wedge and cluster randomized trials, causal inference methods, and techniques to correct for measurement error. Her work spans cancer prevention, HIV/AIDS care, cardiovascular disease, maternal and child health, and mental health promotion, with significant emphasis on global health applications. Dr. Spiegelman has received numerous accolades including being named a Highly Cited Researcher for four consecutive years (2018-2021), a Team Research Prize from Yale School of Public Health (2021), and recognition as a top female scientist. Her publication record demonstrates consistent contributions to methodological innovation with recent work focusing on integrated care models for HIV and hypertension, measurement error correction, and causal inference methods. As founder and director of CMIPS, she leads a multidisciplinary team developing innovative approaches to implementation science. The center focuses on translating research into practice, addressing the critical gap where only 14% of biomedical research is ever implemented, with 17 years passing on average from research submission to implementation. Her work has direct implications for improving healthcare delivery systems worldwide, particularly in resource-limited settings.
