Yucong Hu

Yucong Hu is a Doctoral Researcher at the Max Planck Institute for Biogeochemistry in the Biogeochemical Integration Department. Affiliated with the IMPRS-gBGC graduate school, his work focuses on integrating process-based models with machine learning to address challenges in environmental data analysis. Current projects include upscaling scarce datasets, modeling unmeasurable natural processes, and optimizing hydrological simulations through advanced neural network architectures.

• Education
  • 2020-2024: MS in Ecology, University of Chinese Academy of Sciences
  • 2018-2020: BEng in Computer Science and Technology, China Agricultural University
  • 2016-2020: BEng in Agricultural Biological Environmental and Energy Engineering, China Agricultural University

His research leverages LSTM networks for streamflow and water quality prediction, as well as storm event-based pollutant delivery process analysis. Despite limited publication visibility, his work contributes to environmental data science and hydrological modeling.