Oskar Girardin

Oskar Girardin is a PhD Candidate at Inria since May 2024, with previous experience as a Research Intern at the same institution, where the focus was on applying Machine Learning methods to black-box optimization, specifically studying the CMA-ES algorithm. Prior to this, Oskar completed an internship at Deutsche Bundesbank, concentrating on financial risk modeling using econometric techniques and contributing to analyses for the Basel Committee on Banking Supervision. Oskar also gained experience in economic research at UniCredit, focusing on GDP "Nowcasting" and maintaining macroeconomic databases. Oskar's academic background includes a PhD in Optimization & Machine Learning from École Polytechnique, a Master of Science in Data Science & Business Analytics from ESSEC | CentraleSupélec, and a Bachelor of Science in Economics from the University of Mannheim.