G. (Guangchao) Chen MSc
- PhD researcher
- Risk assessment
- Mathematical and statistical modeling
|Telephone number:||+31 (0)71 527 7463|
|Faculty / Department:||Wiskunde en Natuurwetenschappen, Centrum voor Milieuwetenschappen Leiden, CML/Conservation Biology|
Van Steenis gebouw
2333 CC Leiden
Room number A316
Guangchao Chen graduated in 2010 with a bachelor degree in Environmental Science at Dalian University of Technology. From 2010 to 2013 he received his master’s degree at the same university, with the research mainly focusing on the QSAR modeling of chemical biodegradability.
He joined the Department of Conservation Biology of Institute of Environmental Science (CML) of Leiden University in September 2013, and is currently undertaking a PhD project on the Development of (Q)SAR models to predict the fate and effects of nanomaterials.
Computational modeling has emerged over the past decade as a reliable tool to estimate the parameters that control properties and effects of chemical substances on the basis of (quantitative) structure-activity relationship (Q)SAR and read-across techniques. Combined with powerful data-mining tools, these computational models offer a rapid way of filling data gaps due to limited availability or even due to complete lack of experimental data on new substances. Only a few attempts have recently been made to develop preliminary models by relating nanoparticle properties to effects.
These preliminary attempts have not only indicated the tantalizing possibility that a QSAR approach may indeed be feasible and useful in predicting the physicochemical properties and effects of ENMs but also revealed the challenges facing QSAR modeling of nanomaterial toxicity and areas that need research. QSAR modeling of the fate and effects of ENMs is a novel area of research, especially given the global desire of minimizing animal testing and reducing costs of regulatory testing of chemicals. Therefore my PhD-research seeks to investigate the application of different (Q)SAR approaches to the novel research area of nanomaterial toxicity modeling.