Max Planck Gesellschaft
Feng Tao

PhD student with the
Soil Biogeochemistry Group

room: C3.002b (tower)
phone: +49 3641 57-6205
fax: +49 3641 57-6205
email: ftao(at)

Research interests | Current Research | Past Research | Publications

Research Interest:

  • Terrestrial carbon cycle, mechanisms and mathematical representation
  • Uncertainties of land carbon model simulations
  • Radiocarbon
  • Data assimilation
  • Deep learning

Current Research:

I am currently working on:

  • understanding dynamics of global soil carbon cycle and its underlying mechanisms using ecological modelling, data assimilation and machine learning techniques

Past Research:

Sept. 2018 - Present, Tsinghua University, Department of Earth System Science, Beijing, China
Ph.D. student in Global Change Ecology

Aug. 2014 - Jun. 2018: Sun Yat-sen University, School of Environmental Science and Engineering, Guangzhou, China
B.Sc. in Environmental Science



Tao, F., Zhou, Z., Huang, Y., Li, Q., Lu, X., Ma, S., Huang, X., Liang, Y., Hugelius, G., Jiang, L., Doughty, R., Ren, Z. & Luo, Y. 2019. Deep learning optimizes data-driven representation of soil organic carbon in Earth system model over the conterminous United States, Frontiers in Big Data.

Conference Contribution

Tao, F. and Luo, Y., PROcess-guided deep learning and DAta-driven modelling (PRODA) uncovers key mechanisms underlying global soil carbon storage, 2021 3rd ISMC Conference, 18 - 22 May 2021, Virtual, Invited Talk, Highlights Talk

Tao, F. and Luo, Y., Big data-driven modelling in CLM5 reveals microbial carbon use efficiency as the key mechanism underlying global soil organic carbon storage, 2021 NCAR CESM Land Model and Biogeochemistry Working Group Meeting, 23 - 25 February 2021, Virtual, Talk

Tao, F., Huang, X., Mishra, U., Hugelius, G. & Luo, Y., Big data-driven modelling reveals key mechanisms underlying soil organic carbon stabilization. 2020 AGU Fall Meeting, 1 - 17 December 2020, Virtual, Talk

Tao, F., Huang & Luo, Y., Deep learning and constrained modelling from big data jointly reveal key mechanisms in soil organic carbon stabilization at Symposium SYMP7: Combining Deep Learning and Process-Based Modeling to Advance Ecological Forecasting. 2020 ESA Annual Meeting, 3 - 6 August 2020, Virtual, Invited Talk

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