Bio
My research focuses on quantifying and predicting vegetation, hydrology, carbon cycling, and wildfire dynamics within the Earth system. I integrate field measurements, satellite observations, process-based land surface and Earth system models, and advanced statistical methods, including machine learning and artificial intelligence. A key aspect of my work is understanding and attributing variations and extremes in land surface processes to both natural and anthropogenic drivers, such as urbanization, using factorial model simulations and geoengineering experiments. I also study fire–grid interactions, with a particular emphasis on analyzing and modeling feedbacks between wildfires and power infrastructure, and developing strategies to mitigate wildfire risks to critical systems. In parallel, I am advancing research on Carbon Dioxide Removal (CDR), focusing on Enhanced Rock Weathering (ERW) and the optimization of its supply chains for integration into Earth system models. In addition to research, I have mentored over 30 students and early-career scientists across disciplines and institutions, and I am deeply committed to fostering interdisciplinary, research-integrated education in environmental science and Earth system modeling.