PHD Student at CREST - Center for Research in Economics and Statistics
Greater Paris Metropolitan Region France
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Summary
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Senior
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Yassine Boukhateb is a PhD student and applied mathematics researcher based in Greater Paris with 11 years of experience at the intersection of probability, statistics, and machine learning. He leverages rigorous theoretical foundations—Central Limit Theorems for convex bodies, inverse optimal transport—to design novel ML approaches and has collaborated with leading academic groups (CREST, ENSAE, JMU) and supervisors across France and Germany. Alongside his doctoral research at Institut Polytechnique de Paris and Université Paris-Saclay, he teaches at ENSAE, blending pedagogy with active research mentorship. His background as an applied math engineer and a history of short industry engagements (data analytics consulting) give him a pragmatic bent for translating theory into practical analytics workflows. Notably, his profile reflects a sustained focus on bringing advanced probabilistic ideas to bear on contemporary ML problems rather than only on software implementation.
11 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Institut Polytechnique de Paris
Classes préparatoires aux grandes écoles (CPGE), MPSI - MP*, Classes préparatoires aux grandes écoles (CPGE), MPSI - MP* at Lycée Louis-le-Grand
Mathématiques de l’Aléatoire - Probabilités et Statistiques, Mathématiques de l’Aléatoire - Probabilités et Statistiques at Université Paris-Saclay
Contributions:3 releases, 7 commits, 5 PRs in 1 year 6 months
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Yassine Boukhateb - PHD Student at CREST - Center for Research in Economics and Statistics