What I do at MMV:
As a PKPD modeller, I support the translational team by applying mathematical modelling, integrating in vitro and/or in vivo data to assess safety and efficacy of antimalarial drug candidates. Ultimately, this modelling helps us to better understand the malaria parasite and could potentially help to identify new strategies.
Why I work at MMV:
MMV’s mission, to reduce the burden of malaria in disease-endemic countries, is simple to convey but extremely complex to achieve. I believe that science doesn’t serve any real purpose unless it’s used to help people, which is why I’m proud to be part of the MMV team. Every 2 minutes a child dies from malaria. By challenging my scientific knowledge, I feel like I am contributing to an important cause and helping to improve the lives of many children around the world.
More about me:
I obtained my M.Eng. in Financial Engineering from Ecole Centrale Paris and an M.Sc. in Applied Mathematics in Random Process from the University of Paris-Diderot, both in 2010. After spending a bit of time in the financial world, I decided to change my field and completed an M.Eng. in Biomedical Engineering at Cornell University in 2012, followed by my Ph.D. in PKPD modelling at the University of Nottingham in 2016. During my Ph.D. I worked on two projects: (i) Developing a mathematical tumor growth model describing the growth dynamic and taking into account the Warburg effect, which causes a drop in pH, in order to see how it could affect the efficiency of drugs. (ii) Developing a mathematical model to reliably predict pharmacokinetic drug-drug interactions of new chemical entities, using input data from in vitro experiments.
Ask me about:
Any type of mathematical modelling (e.g. system biology, finance, PK/PD), programming or biomedical engineering. You can also ask me about handball and cooking, especially Moroccan food and chocolates.