Nicolas Nerrienet

Nicolas Nerrienet is an accomplished data scientist specializing in deep learning and computer vision, currently employed at Primaa since October 2021, focusing on developing advanced deep learning models for digital histopathology. Prior experience includes a role at Mobeye as a Data Scientist and Computer Vision Engineer, where Nicolas automated YOLO model training for object detection and classification, while also applying OCR and NLP techniques for product classification from packaging images. Additional experience includes a data scientist position at Servier, where Nicolas created dynamic data visualization tools for clinical trial data and employed machine learning to track patient treatment progress. Nicolas's educational background includes a specialization in computer systems and artificial intelligence from CentraleSupélec, an engineering degree in artificial intelligence from ESME, and international exposure through studies at KMUTT, along with prior teaching experience in mathematics at Cours Legendre.