Ibrahim Ayed is a quantitative researcher at Qube Research & Technologies since April 2022, with previous experience as a PhD student specializing in deep learning and dynamical systems at THALES SIX GTS FRANCE SAS from February 2019 to February 2022. Prior research experience includes a position as a research intern at the Schlumberger Gould Research Center in collaboration with the University of Cambridge, focusing on applied mathematics to solve inverse problems for seismic image modeling in 2017. Additionally, Ibrahim interned at the French Embassy in Japan, gathering data on scientific topics and authoring a report on energy storage in Japan. In leadership roles, Ibrahim served as Under Secretary General for logistics at the Paris International Model United Nations and worked as a teaching assistant in a challenging educational environment. Academically, Ibrahim earned a PhD in Computer Science from Sorbonne Université, a Master’s degree in Applied Mathematics from École Normale Supérieure Paris-Saclay, and an engineering degree in Applied Mathematics, Economic Science, and Computer Science from École Polytechnique.
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