Summary
Francois-xavier Jollois is an experienced enseignant-chercheur with over 20 years in academia, specializing in data mining, data warehousing, OLAP/BI, databases and machine learning. He leads education programs and curricula—having headed the STID department and coordinated data mining and vocational tracks—while teaching a wide range of courses from SQL/NoSQL and Big Data to statistical modeling and neural networks. His research focuses on classification, supervised and unsupervised learning, and practical data analysis, complemented by hands-on use of tools such as R, Python, SAS, Oracle, Hadoop and NoSQL systems. Based in Cherbourg-en-Cotentin, he combines deep theoretical grounding (PhD in Computer Science) with extensive applied teaching across multiple French institutions. Notably, he maintains long-term program leadership and continued part-time teaching roles, signaling a strong commitment to training the next generation of data practitioners.
11 years of coding experience
Doctorat, Informatique, Doctorat, Informatique at Université de Metz