Simon Dahan

Simon Dahan is a highly skilled researcher currently serving as a Postdoctoral Researcher at Meta, focusing on self-supervised learning methodologies for functional MRI data. Dahan has a robust academic background, having completed a PhD at King's College London, where the research centered on applying deep learning to brain surfaces for studying prematurity and neurological disorders. Experience includes the role of Enrichment Community Fellow at The Alan Turing Institute and Graduate Teaching Assistant in the Department of Biomedical Engineering and Imaging Sciences at King's College London, where Simon taught courses on machine learning for biomedical applications. Previous research involvement includes an internship at Huawei Technologies, emphasizing deep learning for visual semantic understanding. Educational credentials encompass multiple degrees in computer science and engineering from prestigious institutions such as King's College London, University of Oxford, and Telecom ParisTech.