Surendra Balraadjsing
PhD candidate
- Name
- Mr. S. Balraadjsing MSc
- Telephone
- +31 71 527 2727
- s.balraadjsing@cml.leidenuniv.nl
- ORCID iD
- 0000-0003-2167-8163
Surendra started as a PhD candidate at the department of Environmental Biology in May 2021 and works on in silico modelling of engineered nanomaterials.
Professional experience
Surendra obtained both his BSc (Biology) and MSc (Biodiversity & Sustainability) degrees at Leiden University. He specializes in ecology and data science, having done research projects as a student that focused on eDNA detection of arthropods, analyzing the effects of anthropogenic activities on dragonflies and the population dynamic modelling of mosquitoes.
He started as a PhD candidate at the department of Environmental Biology in May 2021.
Research topic
Surendra’s project focuses on using in silico methods to predict the toxic effects of nanomaterials, mainly through machine learning.
PhD candidate
- Science
- Centrum voor Milieuwetenschappen Leiden
- CML/Environmental Biology
- Zhou Y., Wang Y., Peijnenburg W.J.G.M., Vijver M.G., Balraadjsing S., Dong Z., Zhao X., Leung K.M.Y., Mortensen H.M., Wang Z., Lynch I., Afantitis A., Mu Y., Wu F & Fan W. (2024), Application of machine learning in nanotoxicology: a critical review and perspective, Environmental Science and Technology 58(34): 14973–14993.
- Balraadjsing S., Peijnenburg W.J.G.M. & Vijver M.G. (2024), Building species trait-specific nano-QSARs: model stacking, navigating model uncertainties and limitations, and the effect of dataset size, Environment International 188: 108764.
- Zhou Y., Wang Y., Peijnenburg W.J.G.M., Vijver M.G., Balraadjsing S. & Fan W. (2023), Using machine learning to predict adverse effects of metallic nanomaterials to various aquatic organisms, Environmental Science and Technology 57(46): 17786-17795.
- Balraadjsing S., Peijnenburg W.J.G.M. & Vijver M.G. (2022), Exploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity, Chemosphere 307(2): 135930.