Grants
Current
NSF CISE OAC: Re-Imagining Computation and Storage Resources in Climate- and Weather-dedicated Cyberinfrastructures. PI, $536,019 (all to ND), 2024-2027
NSF DMS Statistics: Global Non-Gaussian Stochastic Partial Differential Equation Models for Assessing Future Health of Ecohydrologic Systems. PI, $150,000 (all to ND), 2020-2024
NSF Collaborative Research: MRA: Global Non-Gaussian Stochastic Partial Differential Equation Models for Assessing Future Health of Ecohydrologic Systems. co-PI, $945,511 to ND (total $1,478,766), 2022-2027
NASA: Quantifying Physical and Chemical Forcing from Landscape Evolution on Extreme Precipitation. co-PI, $352,338 to ND (total $671,329), 2021-2024
KAUST Competitive Research Grant: Physics-based and Space-Time Statistical Machine Learning Models for Sustainable Development in Saudi Arabia. co-PI, $209,999 to ND (total $787,500), 2023-2026
Lucy Family Institute for Data & Society Research Accelerator: How can Artificial Intelligence Inform Air Quality Policy and Incentives for Environmental Justice?, co-PI, total $95,326 (internal funding), 2022-2024
Completed
KAUST Competitive Research Grant: Space-Time Models for Assessing High-Resolution Wind Power in Saudi Arabia. co-PI, $316,042 to ND (total $829,500), 2019-2022
KAUST Competitive Research Grant: Space-time Statistical Models for Wind Field Forecasting with High Performance Computing. co-PI, $414,787 to ND (total $1,022,891), 2016-2019
NASA: Data-Model Integration for Monitoring and Forecasting Coastal Wetland Carbon Exchanges: Serving Local to National Greenhouse Gas Inventories. co-PI, $61,202 to ND (total $1,499,776), 2020-2022
Early Stage Researcher Feasibility study: Improving decisions by integrating experience into industry with Bayesian Statistics. PI, £ 5,000, 2017