I am a Research Engineer at the MediCIS research group from UMR 1099 LTSI, Inserm research institute, and the University of Rennes (France). I was awarded the Ph.D. degree from the University of Grenoble Alpes (France) in 2017 in automatic detection of surgical deviations and identification of surgical behaviors by modeling and analysis of surgical processes. Since 2019, I have co-supervised 3 PhDs, 8 MSc students, 5 post-docs, and 3 research engineers.
My research topics are surgical data science and AI in surgery, including surgical robotics, augmented and virtual reality, surgical procedures and processes modeling, sensor-based surgical expertise assessment, surgical workflow recognition, surgical training, and validation methodology in medical image processing.
I was the lead organizer of two MICCAI challenges, as part of EndoVis, focused on automatic workflow recognition. The first challenge, called MISAW and held in 2020, asked participants to use video and kinematic data to recognize one or several granularities. The second, called PETRAW and held in 2021, asked participants to recognize all granularity by using one or several modalities among video, kinematic, and segmentation data. In 2023, I am involved in IPPCAI organization as Area Chair.