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Cheng Shi

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Dr. Cheng Shi

Postdoctoral Scientist

Department Umweltchemie

About Me

I am a postdoctoral scientist and environmental chemist with expertise in metabolomics and chemical forensics. My research focuses on using molecular approaches and ecosystem modeling to study the impacts of natural and anthropocentric perturbations on ecosystem services, such as microbial phosphorus metabolism. My work bridges molecular understanding in microbial processes and large-scale Earth system models to gain insights into ecosystem responses to climate change. My overarching goal is to develop multi-scale iterative model-experiment (ModEx) workflows that can better probe and predict ecosystem functions facing diverse global change stresses.

Projects

Sauerstoffisotope in Phosphat

Curriculum Vitae

07.2024 - now
  • Postdoctoral Scientist, Department of Environmental Chemistry, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Dübendorf, Switzerland
03.2024 - 07.2024
  • Postdoctoral Research Associate, Biological Sciences Group, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory (PNNL), Richland WA, USA
08.2022 - 03.2024
  • Graduate Fellow, Distinguished Graduate Research Program (DGRPs), Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory (PNNL), Richland WA, USA
09.2019 - 03.2024
  • Graduate Student, Ph.D. in Biological and Ecological Engineering, Department of Biological and Ecological Engineering, Oregon State University, Corvallis OR, USA
01.2018 - 08.2019
  • Graduate Student, Master in Environmental Engineering, Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge LA, USA

Publications

  1. Shi, C., Guo, H., Qiao, X., Gao, J., Chen, Y., & Zhang, H. (2025). Meteorological effects on sources and future projection of nitrogen deposition to lakes in China. Journal of Environmental Sciences, 151, 100-112. https://doi.org/10.1016/j.jes.2024.03.050
  2. Shi, C., Mudunuru, M., Bowman, M., Zhao, Q., Toyoda, J., Kew, W., ... & Graham, E. (2024). Soil Organic Matter Composition Improves Predictions of Potential Soil Respiration across the Continental United States. Geophysical Research Letters, 52, e2024GL113091. https://doi.org/10.1029/2024GL113091
  3. Shi, C., Mahadwar, G., Dávila-Santiago, E., Bambakidis, T., Crump, B. C., & Jones, G. D. (2023). Nontarget Chemical Composition of Surface Waters May Reflect Ecosystem Processes More than Discrete Source Contributions. Environmental Science & Technology, 57(46), 18296-18305. https://doi.org/10.1021/acs.est.2c08540
  4. Dávila-Santiago, E., Shi, C., Mahadwar, G., Medeghini, B., Insinga, L., Hutchinson, R., ... & Jones, G. D. (2022). Machine learning applications for chemical fingerprinting and environmental source tracking using non-target chemical data. Environmental Science & Technology, 56(7), 4080-4090. https://doi.org/10.1021/acs.est.1c06655

Address

E-Mail: cheng.shi@eawag.ch
Phone: +41 58 765 5404
Fax: +41 58 765 5802
Address: Eawag
Überlandstrasse 133
8600 Dübendorf
Office: BU E14

Research Focus

Climate Change, Ecosystem Health, Chemical Forensics, Nutrients Cycling, Metabolomics