Alexandre Chanson is an assistant professor (Maître de conférences) at the Université de Tours who blends academic rigor with applied research in big data, machine learning and explainable AI. With over a decade of experience that progressed from research internships to doctoral studies and an ATER role, he contributes to the LIFAT laboratory’s database and language team (BDTLN) focusing on Data Narration and XAI. His work spans OLAP, recommender systems for business intelligence, and interestingness measures—indicating a strong grounding in both data systems and interpretable analytics. Based in Centre-Val de Loire, France, he leverages hands-on research to inform teaching and publishes work that bridges database techniques and human-centered explanations for ML outputs.
11 years of coding experience
Baccalauréat, Baccalauréat at Ensemble Scolaire La Salle Saint Etienne
Doctorat, Informatics, Doctorat, Informatics at Université de Tours
Licence, Computer Science, Licence, Computer Science at Université François Rabelais de Tours
Documentation at https://alexchanson.github.io/DW/
Contributions:2 PRs, 159 pushes, 4 branches in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Alexandre Chanson - Maître De Conférences at Université de Tours