• NSF CAREER: A unified multiscale modeling approach for processes in the atmospheric boundary layer ($541,016), 2023-2028.

  • KAUST Competitive Research Grant: Physics-based and Space-Time Statistical Machine Learning Models for Sustainable Development in Saudi Arabia. ND PI, $209,999 to ND (total $787,500), 2023-2026.

  • NSF: Collaborative Research: MRA: Evaluating hypotheses of long-term woody carbon dynamics with empirical data. co-PI, $945,511 to ND (total $1,478,766), 2022-2027.

  • Lucy Family Institute for Data and Society: How can Artificial Intelligence inform air quality policy and incentives for environmental justice? PI, $95,326.

  • NASA: Quantifying Physical and Chemical Forcing from Landscape Evolution on Extreme Precipitation. PI, $352,338 to ND (total $671,329), 2021-2024.


  • KAUST Competitive Research Grant: 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), 2019-2022.