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Daniel Mucs


About me

I am a computational toxicologist at Swetox Södertälje working on the development of new in silico methods to model various (mainly in vitro and in vivo) datasets.

I have obtained my MSc in Chemistry at the University of Debrecen, Hungary in 2008 and my PhD in Pharmaceutics and Drug Design at the University of Manchester, UK in 2012. From 2012 to 2016 I have worked at Cyprotex Discovery in Macclesfield, UK as a Mathematical Modeller on various projects.


PhD Pharmaceutics and Drug Design (2012) – University of Manchester, UK

MSc Chemistry (2008) – University of Debrecen, Hungary

Research description

My research is focused on the development of novel computational approaches for toxicity predictions in various areas such as environmentally important chemicals, pharmaceuticals or nanomaterials. These approaches include:

 - Machine learning methods for pattern recognition
 - QSAR modelling
 - Various molecular modelling techniques (Docking, Pharmacophores etc.)
 - PBPK/PBTK modelling for exposure estimation

Teaching portfolio

Supervising Masters Project Students

Lecturing at the Safety in Drug Discovery and Development course

Tutoring at the Toxmaster Toxtest course