Baptiste COUVY-DUCHESNE

This research focuses on statistical methods used in the analysis of neuroimaging and genetic data. This involves both the design and implementation of advanced methods and their application to very large and complex data sets. Throughout his Ph.D. (supervised by Margaret Wright) and his first post-doc (supervised by Peter Visscher, Naomi Wray and Jian Yang) in Brisbane, Australia, he developed considerable expertise in statistical genetics, from twin models to molecular genetics. In 2019, he was awarded a CJ Martin Award to develop and translate genetic methods for the analysis of brain MRI data into big data. This ongoing collaboration with Paris Brain Institute has already resulted in several publications in the field of neuroimaging and medical imaging. Finally, he is a permanent member of the ENIGMA consortium (http://enigma.ini.usc.edu/), which is gathering data from more than 60 sites around the world to conduct the largest study of brain imaging phenotypes, as well as case-control neuroimaging studies. This makes it possible to propose and carry out analyses on the data shared by the different groups.

This research focuses on statistical methods used in the analysis of neuroimaging and genetic data. This involves both the design and implementation of advanced methods and their application to very large and complex data sets.