Kerbaï Saïd Eroumé

PhD Student

Image-based computational modelling of cell-topography induced cell behaviour.

With a background in veterinary medicine, Kerbaï obtained a masters in bioinformatics in 2017 from the University of Leuven, Belgium. His research focus was on using several sigmoidal curve modelling approaches for the improvement qPCR within a DNA methylation screening protocol. He also holds a masters in epidemiology from the Institute of Tropical Medicine in Antwerp, Belgium. There, as he puts it, “his passion for the quantitative aspects life sciences” was ignited. His research aimed at using multiple correspondence analysis for food safety.

He joined MERLN under the supervision of Aurélie Carlier in September 2017 and his research mainly focuses on investigating the spatio-temporal aspects of mechanotransduction pathways, namely, the cell shape effects. Computational model validation and/or reformulation will be done by confronting in silico data and in vitro data produced at the MERLN institute. It is expected that fundamental insights into the effects of shape on mechanotransduction signalling, could lead to controlled interactions at biomaterial-cell interface, but also, optimal topographical design of biomaterial surfaces and novel opportunities for improved implants.