Mohamed Maouche is a researcher at Inria Lyon (ISFP) and member of the PRIVATICS team since 2022. His interest is to build robust machine learning systems that manage a good trade-off between privacy, security and utility. This includes working on data anonymization and privacy preserving machine learning with robust aggregation. Previously, he was a one-year post-doc whithin the Chaire DSVD supported by Renault and Labex IMU working on privacy issues in Federated Learning. He also spent two years as a post-doc in MAGNET Team (Inria Lille) to work on speech anonymization. He defended his PhD from Insa Lyon in 2019 on the subject of Location privacy.