Since 2011, Pierre-Edouard Portier is associate professor at INSA Lyon (France) Computer Science & Information Technologies (CS&IT) department.

His research addresses topics in the fields of machine learning and soft computing techniques applied to big data analytics (e.g. anomaly detection, crash prediction, traffic forecasting...), natural language processing (e.g., relation extraction...), semantic web search and document engineering. His particular research interest lies in explainable machine learning and the discovery, modeling and representation of knowledge to be integrated into a data analytics process.