Short bio
MSc in Data Science – Grenoble INP Ensimag & UGA
Thesis title
Multimodal analysis of neuroimaging and transcriptomic data in genetic frontotemporal dementia.
Short abstract
Frontotemporal dementia (FTD) is a devastating neurodegenerative disease with no effective treatments so far. The Paris Brain Institute has assembled one of the largest cohorts worldwide on genetic forms of FTD, comprising multimodal data including neuroimaging (MRI, PET), cognition and transcriptomic (RNA-seq). The present PhD project aims at designing and applying new approaches for integrating multimodal transcriptomic and neuroimaging data, to characterize biomarkers of the presymptomatic phase of the disease, in order to design upcoming therapeutic trials.