Mathieu Klimczak

Mathieu Klimczak has extensive experience in the field of mathematics and machine learning. Mathieu is currently working as a Lead Machine Learning Engineer at Roquette, where they are responsible for benchmarking and sharing best practices related to data operations and applying machine learning techniques to improve the company's performance. Prior to this, they worked at CITC-EuraRFID as a project R&D engineer, focusing on technology research and development in areas such as AI, deep learning, and IoT. Mathieu also has experience in teaching, having worked as a part-time instructor at Université d'Artois and taught subjects such as convex optimization and partial derivatives. Additionally, Mathieu has worked as a post-doctoral researcher and teaching assistant at Université d'Aix-Marseille and Université de Nantes, where they taught subjects including linear algebra, analysis, and probability theory. Mathieu also contributed to research in the fields of singularity theory and algebraic geometry. Furthermore, they have completed a training program in data analysis and science at AFPA.

Mathieu Klimczak obtained a Doctorat degree in Mathematics from Université de Lille - sciences et technologies between 2013 and 2016. Additionally, they received a Data Science Professional Certificate from HarvardX - An Online Learning Initiative by Harvard University through edX. The year of obtaining the certificate is unknown.