With my background in biophysics, medicine and computation, my projects cover a wide range of expertise. I like to bring different disciplines into contact. This pages provides an overview.
Before my medical degree, I studied the field of biophysics at Delft University of Technology, where I worked in several labs. At the Swiss Federal Institute of Technology, I familiarised myself with machine learning and computation. On the side, I have also been a dedicated teacher in programming and electronics. During my medical school (Utrecht University), I worked on bioartificial organs in the Nephrology group. Medicine has been my passion ever since.
Generally, it thrives me most to find a technical edge in biomedical projects. During my work on CRISPR/Cas nucleases, for instance, I combined wet lab experience with mathematical modelling. This lead to a situation where theoretical insights can vouch for phenomena in practice and vice versa.
Transferable skills:
- Analytical reasoning, problem solving, critical thinking
- Teamwork and leadership
- Teaching
- Wet lab skills
- Computational and numerical methods
- Programming in Python, MATLAB, R