Cyriaque Rousselot

Doctorant À L'université Paris Saclay at LISN - Laboratoire Interdisciplinaire des Sciences du Numérique

Cyriaque Rousselot is a doctoral candidate at Université Paris-Saclay, focusing on Causal Spatio-Temporal Learning at LISN since October 2022. Rousselot serves as a teaching assistant for courses in Statistical Learning and Reinforcement Learning, collaborating with François Landes and Michèle Sebag, respectively. At École normale supérieure Paris-Saclay, Rousselot assists with a Master’s course on Deep Learning in Practice, taught by Guillaume Charpiat. Prior experiences include a research internship at the University of Copenhagen, where Rousselot trained models in Generative Machine Learning and Natural Language Processing, and a research and development internship at Whispeak focusing on voice biometrics. Rousselot's educational background includes a Master of Science in Data Science from the University of Lille 1 and an engineering diploma from Centrale Lille.

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