I am a postdoctoral researcher at UC Berkeley working with Dr. Trevor Keenan. 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

  • 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