My mission at Lectra : Apply computer vision algorithms on Lectra machines to bring state of the art tehnology and reach high level of performances. (my topic : Oriented small object detection on super high resolution image (525MP)) My previous mission at SOPHiA: To bring, from clinical, genomic and radiomic data, statistical models and the machine learning to the problems of cohort stratification and cancer relapse prediction. Research Article : "Role of 3-D volume growth rate for drug activity evaluation in meningioma clinical trials: the example of the CEVOREM study", co-author https://doi.org/10.1093/neuonc/noab019 My background : Degree in Mathematics. Master in Statistics and Stochastics. My projects as a student: - Project of wind turbine reconnaissance on satellite images (KERAS TENSORFLOW) - Big data group project (statistical study of the number of bicycles in Paris stations; tutor: M.bigot) - Tutored project in probability (tutor: M.Bercu) during my L3. - TER of Master 1 focused on deep neural networks applied to image classification.reviousevious