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About me

I am a data scientist and eco-hydrologist, specificlly focus on Global Surface Energy Balance, Global Warming, Carbon Cycle and Water Cycle, using tools inclduing Eddy Tower observations, remote sensing observations, and Earth sysmte models, and ML/AI models. Please find my educational experiences on CV and recent publications on publications or researchgate.

News

• 12/09/2025: My application for computational resources to run geo-foundation models for surface carbon and water fluxes has been awarded. Thanks to the National Artificial Intelligence Research Resource (led by NSF).

• 11/04/2025: Thrilled to share my work at the FLUXNET-ECN Workshop: Data-driven methods to correct the energy balance closure problem in FLUXNET datasets, including a hands-on session. I hope the presentations and tutorials are helpful to early career researchers. Thanks to the FLUXNET-ECN team for the great support.

• 10/22–10/24/2025: Excited to participate in the 2025 AmeriFlux Annual Meeting (@ Tucson). We (Wantong Li, Trevor Keenan, and I) presented a poster highlighting the representativeness of the AmeriFlux and NEON networks in terms of carbon and water flux estimates. Thanks to the AmeriFlux team for the great support.

• 09/15–09/19/2025: Excited to participate in the Chapman Conference on the Energy Balance Closure Problem (@ Boulder). I presented a poster introducing the correction framework I developed during my PhD and outlining the missing pieces I plan to address in future work. Many thanks to the entire eddy covariance community for your continued efforts and dedication.

• 08/06–08/08/2025: Excited to participate in the Bridging the Gap: Flux Data Meets Land Surface Models (@ Berkeley). I quickly shared the correction framework I developed during my PhD that can be used as a practical tool to reduce bias in FLUXNET LE and H observations, and for better benchmarking models. Many thanks to the FLUXNET-ECN and for all speakers.

• 06/23–06/27/2025: Thrilled to participate in the Deep Learning for Science School (@ LBNL Berkeley). I presented a poster highlighting the potential of geo-foundation models in advancing carbon and water flux estimates at the AmeriFlux and NEON networks. Also learned a lot about the different aspects of AI beauty. Thanks to the organizers in LBNL.

• 05/27–05/29/2025: Thrilled to participate in the HydroML-2025 (@ Lake Arrowhead Lodge and Zoom). Thanks to the organizers.

• 05/15/2025: My application for Google Cloud Platform support to access and run foundation models for carbon monitoring has been awarded. Thanks to Google.