Stanford Doerr School of Sustainability
Showing 1-10 of 13 Results
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Fa Li
Postdoctoral Scholar, Earth System Science
BioMy research investigates greenhouse gases emissions, wildfires/climate extremes, and nature-based solutions by combining data-driven approaches (e.g., physically interpretable AI and causality inference), process-based terrestrial biosphere/Earth system models, and big data (e.g., remote sensing, in-situ measurements).
For example, together with our collaborators at Stanford and beyond, I play a leading role in FLUXNET-CH₄ V2.0, a global network of methane tower measurements, to enhance the monitoring of methane emissions and support Global Carbon Project-Methane Budget. These observations are not only important for carbon science, but also for AI in Earth science because "Data is the foundation of AI"–I believe.
I develop physically interpretable AI, integrating scientific principles to improve reliability, particularly when solving critical challenges such as climate and wildfire prediction. Because "black-box AI" with low "physical interpretability" often concerns me, why? -
Mengze Li
Postdoctoral Scholar, Earth System Science
Current Research and Scholarly Interestsatmospheric gases: trends and emissions, such as methane, volatile organic compounds.
atmospheric observations: ground, airborne, satellite remote sensing.
atmospheric measurement techniques.
atmospheric modeling.
indoor air chemistry and human emissions.
climate change. -
Zhi Li
Postdoctoral Scholar, Earth System Science
BioZhi “Allen” Li is the Stanford Doerr School of Sustainability Dean’s Postdoc Fellow. He studies surface water across scales, both spatially (local, continental, and global) and temporally (Hydrology, Hydrometeorology, and Hydroclimatology). His research focuses on flood prediction and monitoring by leveraging Remote Sensing platforms and Hydrologic-Hydraulic coupled models. He devotes himself to improving flood monitoring tools to deliver accurate and timely information for the community, especially under-represented communities.
