Olivier Gagnon
About Olivier Gagnon
Olivier Gagnon is a Data Scientist based in Quebec, Canada, with a strong background in deep learning and its creative applications. He holds a Bachelor's degree in Computer Engineering and a Master's degree in Electrical Engineering from Université Laval, and has worked at companies such as Bentley Systems and NovaSyst before joining Intact in 2019.
Work at Intact Financial Corporation
Olivier Gagnon has been employed at Intact Financial Corporation as a Data Scientist since 2019. His role involves leveraging data science techniques to enhance the company's operations and decision-making processes. His experience at Intact spans over five years, during which he has contributed to various projects that utilize data analytics and machine learning methodologies.
Previous Experience in AI and Data Science
Prior to his current position, Olivier Gagnon worked as an Applied AI Scientist at Bentley Systems for six months in 2018. He also served as an AI Scientist at NovaSyst from 2016 to 2018, where he focused on developing AI solutions. His roles in these companies provided him with substantial experience in the application of artificial intelligence technologies.
Education and Expertise
Olivier Gagnon holds a Bachelor's Degree in Computer Engineering from Université Laval, which he completed from 2010 to 2014. He furthered his education by obtaining a Master's Degree in Electrical and Electronics Engineering from the same institution, studying from 2014 to 2016. Currently, he is pursuing a Master's degree in Electrical Engineering at Laval University, enhancing his expertise in the field.
Background in Music and Science
Olivier Gagnon studied at Cégep de Sainte-Foy, where he achieved a degree in Music / Science from 2007 to 2010. This background reflects his diverse interests, combining technical knowledge with creative pursuits. His passion for music and science informs his current work in deep learning applications, particularly in creative domains.
Research Interests in Deep Learning
Olivier Gagnon has a principal interest in deep learning and its applications. He focuses on utilizing deep learning techniques to create content such as music and images. His passion for applying these techniques in various creative domains drives his research and professional endeavors.