Since July 2020, I am a postdoctoral researcher in the Geodes team from the Department of Computer Science and Operations Research of the University of Montréal, working with Houari Sahraoui and Michalis Famelis. I obtained an IVADO postdoctoral research funding in October 2020 to work on machine learning and optimisation approaches to handle source code.
I received a Ph.D in Computer Science in 2018 from the University of Montpellier (France), while working at the Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM), under the supervision of Marianne Huchard and Clémentine Nebut. During my Ph.D, I worked with symbolic AI for model extraction and software product line reverse engineering. I continued this work with complex software product lines as a teaching and research assistant between 2018 and 2019. From 2019 to 2020, I worked on problematics related to interoperability and ontology matching at the French National Institute for Sustainable Development (IRD).
My research interests are at the intersection of AI and software engineering. They include automated software engineering, knowledge engineering, machine learning, and model-driven engineering.