Philippe Belanger
About Philippe Belanger
Philippe Belanger is an Associate Director of Analytics and Artificial Intelligence at the Government of Canada, where he has worked since 2017. He specializes in enhancing agency operations through research in analytical and statistical procedures and leads the Research and Innovation Lab at the Canada Revenue Agency.
Work at Government of Canada
Philippe Belanger serves as the Associate Director of Analytics and Artificial Intelligence at the Government of Canada. He has held this position since 2017, contributing to various initiatives aimed at enhancing the agency's operational efficiency. His role involves providing advisory and technical services to senior management regarding new policies and legislation in the fields of analytics and artificial intelligence. Belanger also leads the Research and Innovation Lab at the Canada Revenue Agency, where he focuses on improving business outcomes through innovative approaches.
Education and Expertise
Philippe Belanger has a strong educational background in mathematics and statistics. He earned a Bachelor of Science in Mathematics from Université de Montréal, where he studied from 2004 to 2008. He furthered his education by obtaining a Master of Science in Probability and Statistics from Carleton University, completing his studies in 2011. This academic foundation supports his expertise in developing analytical and statistical procedures within government operations.
Background
Before his current role, Philippe Belanger gained diverse experience in statistical analysis and data management. He worked as a Survey Statistician and Information System Analyst at Canada Mortgage and Housing Corporation for four months in 2017. He also held positions as a Statistician at the Canadian Medical Protective Association from 2012 to 2017 and as a Statistician/Consultant at Carleton University for seven months in 2010. His early career included an internship as a Junior Statistician at Statistics Canada in 2006.
Achievements
Philippe Belanger has been instrumental in advancing technology within the Government of Canada. He spearheaded the development of Charlie, the first public-facing chatbot on a Government of Canada website, enhancing user engagement and accessibility. Additionally, he manages the development, implementation, and maintenance of statistical and machine learning models for the Canada Revenue Agency, contributing to data-driven decision-making processes.