Alexis Bienvenu

Alexis Bienvenu has a diverse work experience, beginning in 2010 as an intern at IMAGINE, Ecole des Ponts ParisTech. In 2011, they interned at Multitel, and from 2013 to 2015 they were an Associate Imaging Scientist and Trainee at Konica Minolta Business Solutions U.S.A., Inc. In 2015, they joined Google as a Software Engineer, where they worked with the YouTube and Video Search team, adding face clustering for videos to Google Photos, working on ActionRecognition for replay gif generation within Google Photos, and working on several research projects combining Computer Vision and Search algorithms. In 2020, they became the Chief Machine Learning Engineer at Norbert Health.

Alexis Bienvenu's education history includes a M2 in Mathematics Vision Apprentissage from Ecole Normale Supérieure de Cachan from 2012-2013, a M2 in Mathématiques et informatique from Ecole nationale des Ponts et Chaussées from 2009-2013, and Mathematics and Physics from Collège Stanislas from 2007-2009.