Caroline Rougier
About Caroline Rougier
Caroline Rougier is a Lead Computer Vision Scientist at Hinge Health, with extensive experience in computer vision and machine learning. She has held various research and teaching positions in Canada and France, contributing to advancements in the field since the early 2000s.
Work at Hinge Health
Caroline Rougier currently serves as the Lead Computer Vision Scientist at Hinge Health, a position she has held since 2021. In this role, she focuses on advancements in artificial intelligence and computer vision, contributing to the company's mission of improving health outcomes through innovative technology. Her work involves applying her expertise to solve real-world problems, leveraging cutting-edge techniques in computer vision and machine learning.
Education and Expertise
Caroline Rougier earned her PhD in Computer Vision/Image Processing from the University of Montreal, where she studied from 2004 to 2010. She also holds a Master of Science in Image Processing from Université Pierre et Marie Curie (Paris VI), completed between 2001 and 2003. Additionally, she participated in the International Computer Vision Summer School (ICVSS) in 2009, further enhancing her knowledge in the field of computer vision.
Background
Caroline Rougier has a diverse professional background in computer vision and machine learning. She began her career as an R&D developer at CEA, working in both Saclay and Fontenay aux Roses, France, from 1999 to 2002. She later served as a Postdoctoral Research Fellow at Université de Montréal from 2010 to 2011. Rougier also worked as a Video Analytics Scientist at Envysion, Inc. from 2015 to 2018, and held roles as a Course Lecturer and Teaching Assistant at Université de Montréal from 2004 to 2008.
Achievements
Throughout her career, Caroline Rougier has demonstrated a strong passion for tackling challenges in computer vision and machine learning. Her involvement in various projects has focused on solving real-world problems using advanced technology. Her contributions in both academic and industry settings reflect her commitment to the field and her expertise in applying innovative solutions.