Remi Trichet is a highly skilled and experienced specialist in machine learning-related techniques. With expertise in deep learning and algorithmic, Remi has previously mentored interns and Ph.D. students, and provided technical management for several projects.

He specializes in video understanding, semantic extraction in videos, object recognition, pedestrian detection, face detection, and big data analysis, and has vast experience in developing software with Windows and Linux platforms. Remi also possesses strong communication skills and has presented as a dynamic speaker.<br><br>

Remi has a Master's degree in Computer Science-Image from the University of Lyon2 and completed his thesis on Vision (Computer Science) at EURECOM. He has held several notable appointments, including Machine Learning Expert at Continental, Post-doctorate in Pedestrian Detection at INRIA, and Post-doctorate in Computer Vision and Machine Learning in the Event Recognition Domain at the INSIGHT Centre for Data Analytics - Dublin City University.

Remi has also served as a Post-doctorate in Computer Vision in the Event Recognition Domain at IRIS - USC, as well as a Post-doctorate in Computer Vision "Descriptors Extraction for Event Recognition" at Lab for Media Search (LMS), National University of Singapore. Previously, he was also a Ph.D. student in Generic Object Tracking at Institut Eurecom.<br><br>