Scientist

Faculty of Biology
Aquatic Ecology
Universitätsstrasse 5
D-45141 Essen
Germany

Room: S05T03B19
Tel: +49.201.18.34020
Fax: +49.201.18.32179
yen.le@uni-due.de

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Profil

With a Huygens scholarship (NUFFIC, the Netherlands), I obtained the Master degree in Environmental Sciences, special track: Human and Ecological Risk Assessment (HERA), in 2011 at Radboud University Nijmegen, the Netherlands. Then I worked on modelling accumulation and toxicity of metal mixtures at Radboud University Nijmegen and the Netherlands National Institute for Public Health and the Environment (RIVM), the Netherlands, and was awarded with the doctoral degree in December 2012. Various methods, such as the Biotic Ligand Model (BLM) and the electrostatic approach, had been applied to take interactions between metals in the environment and at the sites of toxic actions into consideration. The research contributes to initial bases for application of these methods to metal mixtures.

My followed research is still on the HERA track. My first post-doc research (at Radboud University Nijmegen, the Netherlands) was financed by the Ministry of Infrastructure and the Environment, the Netherlands on improving estimations of metal accumulation in edible parts of vegetables. Subsequently, I extended the methods that I have applied for chemical mixtures to model effects of multiple stressors (both chemical and non-chemical stressors). The first extension is to take into account influence of parasitism on metal accumulation in fish when I moved to the University of Duisburg-Essen, Germany. The research that was sponsored by the Alexander Von Humboldt foundation, Germany.

Afterwards I continued working at the University of Duisburg-Essen, Germany, focusing on characterising the stressor-effect causality. For example, metal toxicity is simulated as a function of the train from chemistry speciation in the environment – metal uptake – subcellular fractionation – toxic effects. Such approaches aim to improve capacity for predicting response of organisms at environmentally relevant conditions.