Oğuz Kaan Yüksel

I am a fourth-year Ph.D candidate at the Theory of Machine Learning Lab, EPFL, advised by Nicolas Flammarion. I focus on understanding AI from first principles — using mathematical modeling and rigorous theory to explain how and why modern learning systems work. My work spans generalization, optimization, and the structure of data, with a particular interest in language models and autoregressive processes.

Research · CV

Background. M.Sc. in Data Science (minor in Mathematics) and Ph.D. at EPFL. B.Sc. in Computer Engineering & Mathematics at Boğaziçi University.

Selected Publications

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