I’m actively seeking highly motivated PhD student and postdoctoral reserachers to join our group. For more details, please visit this page.
My research improves the monitoring of terrestrial ecosystem dynamics and deepens our understanding of vegetation-atmosphere interactions. Leveraging satellite remote sensing, machine learning, and process-based modeling, I track changes in canopy structure, carbon, and water dynamics and model their interactions with the climate across temporal and spatial scales. I am keen to build robust quantitative frameworks that guide sustainable land and water resource management to mitigate climate change.
News
- September 2024: Presented our CEDAR-GPP work at the AmeriFlux Annual Meeting in Berkeley!
- March 2024: Excited to receive the NASA early career investigator award for developing a remote sensing-based monitoring system for Nature-Based Climate Solutions.
- Januray 2024: Our OpenET benchmark paper, where I’m a co-author, is published at Nature Water, offering rigorous assesmsnet of satellite-derived evapotranspiration for resources management.
- December 2023: For the second year in a row, hosted our innovative session on “Emerging Machine Learning Approaches for Process Understanding in Ecosystem Sciences” at AGU.
- December 2023: Presented our CEDAR-GPP dataset at the AGU, offering vital spatiotemporal estimates of GPP that incorporates the CO2 fertilization effect.
- October 2023: Our preprint, “CEDAR-GPP: Spatiotemporally Upscaled Estimates of Gross Primary Productivity Incorporating CO2 Fertilization,” is now under discussion at Earth System Science Data.
- September 2023: Excited to announce our preprint, “Using Automated Machine Learning for the Upscaling of Gross Primary Productivity,” is currently under discussion at Biogeosciences.
- August 2023: Presented our recent findings on atmospheric CO2 impacts on global photosynthesis at the ESA Annual Meeting in Portland, Oregon.
- July 2023: Delivered a presentation on our work and perspectives on high-resolution satellite LAI data products at IGARSS 2023 in Pasadena, CA.
- June 2023: A team of master’s students under my guidance presented our collaborative work, “Upscaling Global Hourly GPP with Temporal Fusion Transformer,” at the CVPR MultiEarth 2023 Workshop. paper