Marc Teunis
Marc Teunis has a PhD in Biology. He has a wide range of interests. For the past 15 years, Marc has been an associate of HU University of Applied Sciences, working as a lecturer within the Institute for Life Sciences & Chemistry (ILC) and the Research group Innovative Testing in Life Sciences & Chemistry (INT).
He has a background in embryonic development, neurobiology and immunology. At INT, his research focuses on the organisation, validation and implementation of toxicity tests for various toxicological end points. Marc is also working to set up a data analysis infrastructure at the HU level, in addition to serving on the core team of Data Lab HU.
He is currently involved in research into the practical value of machine learning and deep learning when it comes to predicting changes in physiology and the toxicological properties of various substances.
Marc’s PhD research focused on the interaction between our brain and our immune system. From 1992 to 1998, he studied Biology at Utrecht University, where he specialised in Experimental Zoology and Molecular Neurobiology.
Fields of expertise
- Toxicology and immunology
- Alternatives to laboratory animals
- Machine learning
Publications
- Natural language processing in toxicology: Delineating adverse outcome pathways and guiding the application of new approach methodologies
- Kinetics of Physiological Responses as a Measure of Intensity and Hydration Status During Experimental Physical Stress in Human Volunteers
- Plasma citrulline concentration, a marker for intestinal functionality, reflects exercise intensity in healthy young men
