- 2016 Keynote at Discovery Science conference + 2014 Grenada Summer School "Perspectives of feature selection in bioinformatics: from relevance to causal inference"
- 2017 ESHRE Workshop Capri (I) "Genome-wide molecular studies and expectations: is statistics switching-off the illusion ?"
- 2017 Keynote at European Parliament, "Data science: from prediction to decision making"
- 2017 Brussel BSSM summer school "Machine Learning for predicting in a big data world"
- 2018 ENS Cachan (F) summer school on transfer learning "Multi-task learning and forecasting"
- 2020: Politecnico di Milano summer school "From supervised learning to causal inference in large dimensional settings", PhD Course,
- 2020 French-German Summer School with Industry on ML, AI "Causality and big data analytics: risk, challenges and perspectives"
- 2020 Keynote at Models and Learning in Clustering and Classification (MBC) conference "From supervised learning to causal inference"
- 2021 4th International Workshop on Big Mobility Data Analytics A tutorial on network-wide multi-horizon traffic forecasting with deep learning
- 2022: IIF Forecasting summer school: "Machine learning techniques for forecasting: perspectives and limitations"
- 2002 FACTpresentation at Benelearn conference "AI decision-making and ethics: what a data scientist should know"
- 2023: IRIDTA BigDat23 Summer School "Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference "
- 2023: IEEE BigData23 Tutorial Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference
