EcoClimate AI Lab | Yuan Lab
Welcome to EcoClimate AI Lab!
📢📢We are recruiting a Ph.D. student and a postdoc! If you are interested in joining us, please click here for details, and contact Dr. Kunxiaojia (Tammy) Yuan at kyuan@central.uh.edu with your CV, transcript, and a brief statement of your research experience and interests.
About the Lab
EcoClimate AI Lab is led by Dr. Kunxiaojia (Tammy) Yuan, who is an Assistant Professor in the Department of Earth and Atmospheric Sciences, at University of Houston. Previously, Tammy was a postdoc at the Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory.
We study how ecosystems respond to climate dynamics and disturbances (e.g., wildfire, deforestation, flooding) through carbon-water-energy nexus, with a particular focus on wetland and forest ecosystems. Our goal is to assess ecological and climate risks, and advance nature-based solutions to enhance ecosystem service benefits. To achieve this, we use a range of tools, including advanced machine and deep learning, causal inference, Earth system models, remote sensing, and field measurements (e.g., eddy covariance, chambers, and isotopes).
news
| Sep 2025 | Our paper “Hysteretic temperature sensitivity in wetland CH₄ emission modeling” has been published in Agricultural and Forest Meteorology. Congratulations to first author Shuo Chen, whom I supervised through the student intern program at Lawrence Berkeley National Laboratory (LBNL). This study is one of the outcomes of that program. |
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| Aug 2025 | The workshop we organized, “Bridging the Gap – Flux Data Meets Land Surface Models”was successfully held on August 6–8, Berkeley. |
| Feb 2025 | Thrilled to share our team’s new paper, “Advancements and opportunities to improve bottom–up estimates of global wetland methane emissions”, published in Environmental Research Letters. |
| Feb 2025 | Our new paper “Exacerbating risk in human-ignited large fires over western United States due to lower flammability thresholds and greenhouse gas emissions​” is published in PNAS Nexus. |
| Jan 2025 | Excited to share our proposal to FLUXNET Coordination Project (NSF supported) was accepted! Great team work! Looking forward to our upcoming workshop this summer! |
| Dec 2024 | Honored to host our AGU session “​The Global Methane Budget and Advancing Understanding of Wetland Greenhouse Gas Emissions”. A heartfelt thank you to all attendees and supporters! |
| Oct 2024 | Our paper, “Projecting Large Fires in the Western US With an Interpretable and Accurate Hybrid Machine Learning Method”, was published in Earth’s Future. |
| Sep 2024 | Honored to host the AmeriFlux Early Career Workshop. |
| Jul 2024 | Delivered an invited talk on regional and global wetland methane upscaling at the AmeriFlux workshop: Remote Sensing and Fluxes Upscaling for Real-world Impact. |
| Jul 2024 | Welcome our new team members: Shou Chen (Purdue University), Benjamin Yan (Stanford University), and Victor Chen (Stanford University). Excited to mentor their summer intern projects!   |
| May 2024 | Presented findings from our Boreal-Arctic wetland study at the NOAA GML Annual Meeting. |
| May 2024 | Presented our work on physically interpretable machine learning for methane studies as an invited speaker at Methane Emissions Technology Alliance, Stanford University. |
| Feb 2024 | Proud to announce our new paper, “Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity”, featured as the cover page of Nature Climate Change ! |