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Ilyes Khemakhem is a quantitative researcher at Marshall Wace since April 2022, bringing prior experience as a teaching fellow at Cambridge Spark and a teaching assistant at the UCL - Gatsby Computational Neuroscience Unit. Ilyes has also held roles as a research intern at Ensae ParisTech and a data science intern at Kaiko, focusing on analysis of cryptocurrency markets using blockchain data. Previous engineering internship at the University of Tokyo involved characterization of triple-junction solar cells. Educational qualifications include a PhD in Machine Learning from UCL and a Master of Science from École Normale Supérieure Paris-Saclay. Ilyes received an engineering degree from École Polytechnique and attended IPEST.