What I do at MMV:
My role as a PKPD modeler is to process in vitro and in vivo data to evaluate the effect of antimalarial drug candidates. In particular, modelling aims to better understand the effects of drugs when administered in combination, thus contributing to the optimization of dose selection and translation from preclinical to clinical studies.
Why I work at MMV:
The mission of MMV is to reduce the burden of malaria in disease-endemic countries. The driving force behind this objective is the discovery, development, and delivery of antimalarial drugs. This requires a wide range of scientists, medical professionals, communicators and others to join forces, and I am grateful to be able to contribute.
More about me:
I trained as a physicist at the University of Fribourg and graduated as a computational biologist from an interdisciplinary PhD position at the Swiss Federal Institute of Technology (EPFL) and the University of Lausanne. During my PhD, I worked on the design, implementation and analysis of gene regulation models. My work focused on the cooperative effects of DNA-binding proteins and the optimization of a bacterial biosensor for toxic compounds.
Ask me about:
Computational biology, modeling and optimization, pharmacokinetics/pharmacodynamics. Apart from science, I like to talk about movies, live music, athletics, and video games.