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Haruko Wainwright received her MS in nuclear engineering (2006), MA in statistics (2010), and PhD in nuclear engineering (2010) at University of California, Berkeley. Her initial research interest was to investigate the environmental impact of nuclear waste and nuclear weapon productions. Her PhD dissertation focused on Bayesian geostatistical inverse modeling for subsurface characterization at the uranium-contaminated DOE Hanford site. Since then, she has broadened her research interest to various environmental problems, including Arctic ecosystem responses to climate change, groundwater contamination, and deep-subsurface CO2 storage. In addition to working in many interdisciplinary projects, she is a deputy lead of the site application thrust in the Advanced Simulation Capability for Environmental Management project, leading the site application at the Savannah River Site F-Area. She is also on the leadership team of Institute for Resilient Communities, which aims to prepare communities for radiological and other disasters through research, education and outreach activities.
For more information: https://eesa.lbl.gov/profiles/haruko-murakami-wainwright/
COVID-19-related research: "Using Machine Learning to Estimate COVID-19âs Seasonal Cycle"
Dr. Lauren Charles, D.V.M., Ph.D., is a research data scientist in the Data Science and Analytics group at PNNL. Dr. Charles is a Veterinarian with a PhD trained in public health, epidemiology and zoonotic diseases as well as mathematics, biology, environmental and geographic information science, plant pathology, and bioinformatics.
Dr. Charles' research integrates heterogeneous data sources, e.g., medical records and disease reporting with social and news media, natural disasters, meteorological and climatic data, behavioral and cultural factors, into complex mathematical models to advance current Biosurveillance, event and anomaly detection, threat assessment, and early warning through a one-health approach. Her past research has focused on wildlife population health, epidemiology, ecology, and the interface between wildlife, humans, domestic, and agricultural animals. She currently focuses on One Health and National Security solutions in support of non-governmental and governmental organizations, e.g., State Department of Health, Department of Homeland Security, Department of Defense, Department of Health and Human Services, U.S. Agency for International Development, and Department of Energy.
Eoin Brodie is a Senior Scientist in Berkeley Labâs Earth and Environmental Sciences Area (EESA). Dr. Brodie serves as the Deputy Director of the Climate and Ecosystem Sciences Division, Program Domain Lead for Environmental and Biological Systems Sciences and co-lead of the labwide Microbes-to-Biomes initiative. At the University of California, Berkeley, Dr. Brodie is an Associate Adjunct Professor in the Department of Environmental Science, Policy and Management. His research group develops approaches to observe, sense and simulate the distribution and activities of microorganisms in natural and managed ecosystems.
For more information: https://eesa.lbl.gov/profiles/eoin-brodie/
COVID-19-related research: "Using Machine Learning to Estimate COVID-19's Seasonal Cycle". Other principal investigators include: Ben Brown, Nicola Falco, Dan Feldman, Zhao Hao, Chaincy Kuo, Joshua Ladau, and Haruko Wainwright.