Chloé Savignac is a PhD student in the Integrated Program in Neuroscience at McGill University, interested in the applications of machine learning to dementia research. She joined the lab in January 2021 after graduating with First Class Honours from a B.A. & Sc. in Cognitive Science at McGill University. Her PhD work combines Big Data analytics tools with state-of-the-art machine learning techniques to derive factors of Alzheimer’s disease (AD) susceptibility in population datasets of up to half a million participants. Her master’s thesis leveraged the power of structural brain scans from ~40,000 participants of the UK Biobank imaging cohort to find population signatures of familial AD risk as a function of APOE haplotypes. She has since shifted focus to single-cell genomics, aiming to identify patterns of transcriptomic markers uniquely linked to AD disease in male and female patients. Outside the lab, Chloé enjoys learning new languages and exploring cuisines from around the world.