Philippe Desaulniers
About Philippe Desaulniers
Philippe Desaulniers serves as the Vice President of Engineering and AI Development at Sportlogiq, where he focuses on sports data analysis and artificial intelligence. He has a background in product management and engineering, with experience at Averna and Apphelp By Appdirect, and holds an MBA from HEC Montréal.
Work at Sportlogiq
Philippe Desaulniers has served as the Vice President of Engineering and AI Development at Sportlogiq since 2015. In this role, he focuses on advancing the company's capabilities in sports data analysis and artificial intelligence. His work involves overseeing engineering projects that leverage AI to enhance sports analytics. He has played a significant role in developing innovative solutions that contribute to the understanding of player performance and game dynamics.
Previous Experience in Product Management
Before joining Sportlogiq, Philippe Desaulniers worked as a Senior Product Manager at Apphelp By Appdirect from 2012 to 2015. His responsibilities included managing product development and strategy. Prior to that, he spent ten years at Averna as a Product Manager from 2002 to 2012. His experience in these roles has equipped him with a strong foundation in product management and development within technology-driven environments.
Education and Expertise
Philippe Desaulniers holds a Master of Business Administration from HEC Montréal, where he studied Finance from 1997 to 2000. He also earned a degree in Computer Engineering from Polytechnique Montréal, studying from 1990 to 1995. His educational background combines technical expertise in engineering with a solid understanding of business and finance, which supports his work in AI and product management.
Contributions to Sports Analytics
Philippe Desaulniers has made significant contributions to the field of sports analytics. He has been involved in patent applications related to sports data analysis and AI. His research includes co-authoring papers on sports analytics and AI, as well as developing a Markov Game model for valuing actions in ice hockey. He has also worked on clustering and ranking NHL players based on location information, enhancing the analysis of player performance.
Innovative Projects in Sports Analysis
At Sportlogiq, Philippe Desaulniers has participated in creating data-driven lowlight and highlight reels for sports analysis. These projects utilize advanced analytics to provide insights into game performance and player actions. His work in this area reflects a commitment to using technology to improve the understanding of sports dynamics and enhance the viewing experience for fans and analysts alike.