member

Previous page Baptiste COUVY-DUCHESNE CR1, PhD Team “Algorithms, Models and Methods for Images and Signals of the Human Brain ” https://github.com/baptisteCD https://twitter.com/https://twitter.com/baptistecouvy?lang=en https://www.linkedin.com/in/baptiste-couvy-duchesne-3b8324bb/

Biography

My research focusses on statistical methods for the analysis of neuroimaging and genetic data. This involved both design and implementation of advanced methods and their application to very large and complex datasets. Throughout my PhD (w. Margaret Wright) and first post-doc (w. Peter Visscher, Naomi Wray and Jian Yang) in Brisbane, Australia, I have gained extensive expertise in statistical genetics, from twin models to molecular genetics. In 2019, I was awarded a CJ Martin Fellowship to develop and translate genetic methods for the analysis of big-data brain MRI data. This ongoing collaboration with the Paris Brain Institute has already led to several publications in the field of neuroimaging and medical imaging. Finally, I am an ongoing member of the ENIGMA consortium (http://enigma.ini.usc.edu/), which gathers data from more than 60 sites across the world to conduct the largest GWAS on brain imaging phenotypes, and case-control neuroimaging studies. This allows to propose and perform analyses on the data shared by the different groups.

Research work

My research focusses on statistical methods for the analysis of neuroimaging and genetic data. This involved both design and implementation of advanced methods and their application to very large and complex datasets.

Interests : genetics, neuroimaging, statistics, big-data, neurology, psychiatry