Summary
Cécile Bordier is a research engineer with 11 years of experience applying computer science to neuroimaging, specializing in analysis and interpretation of fMRI and EEG data collected during naturalistic stimuli such as movie viewing. With a PhD in Computer Science and a career spanning INSERM, Fondazione Santa Lucia, Istituto Italiano di Tecnologia and CHRU de Lille, she develops data-driven methods including temporal/spatial ICA and inverse retinotopic mapping to align visual cortex data across subjects without conventional normalization. Her work bridges methodological innovation and practical neuroscience applications, from mapping visual fields to probing color and object processing and synesthesia. She is skilled at building toolboxes and R packages for complex neuroimaging pipelines and has led projects that integrate multimodal signals under dynamic, real-world conditions. Based in Lille, France, she blends rigorous computational expertise with deep domain knowledge in cognitive neuroscience. A less obvious strength is her long track record of translating advanced signal-processing ideas into reusable research software that enables reproducible group-level analyses.
11 years of coding experience
DUT Informatique, Computer Science, DUT Informatique, Computer Science at IUT de Reims
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Université Claude Bernard Lyon 1
Master's Degree, Computer Science, Master degree in Medical Computing and Communication Tools, Master's Degree, Computer Science, Master degree in Medical Computing and Communication Tools at Université René Descartes (Paris V)
licence maitrise, Informatique, licence maitrise, Informatique at Université de Dijon
English, French, Italian