Dr. Longzhu Shen is a GIS modeller at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB). Dr. Shen’s technical background was quantum chemistry with broad applications, especially in areas related to ecology, environment and public health. After Ph.D. training, he migrated further into machine learning oriented modellings and often crafted unique solutions via coupling the physical principles and data-driven approaches. He has built predictive models to estimate the distributions of nitrogen and phosphorus in their various forms in the streams around the globe.

  • since Oct. 2020 - GIS modeller at Leibniz Institute of Freshwater Ecology and Inland Fisheries
  • 2019-2020 - Independent modelling consultant
  • 2017-2019 - Department of Zoology, University of Cambridge, UK (Postdoc)
  • 2014-2018 - School of the Environment, Yale University, USA (Postdoc)

Reviewer activities
  • Journal referee: Global Biogeochemical Cycles, Science of the Total Environment, Resources, Conservation & Recycling, Journal of Agriculture and Food Chemistry Chemosphere, International Journal Polymer Science, Journal of Coordination Chemistry

  • Hydrological modelling
  • Machine learning algorithms in geo modelling
  • Large-scale geocomputation
  • PhD in Chemistry, 2013

    Carnegie Mellon University, Pittsburgh PA, USA

  • MSc in Computational Biology, 2006

    Beijing University of Technology, Beijing, China

  • BSc in Biochemistry, 2002

    Northwest University, Xi'an, China