Isabelle Moulinier
About Isabelle Moulinier
Isabelle Moulinier serves as the VP of Research and Data Science at Thomson Reuters, where she has worked since 2020. With a robust background in data science and natural language processing, she has held various leadership roles in prominent organizations, including Capital One and IBM.
Current Role at Thomson Reuters
Isabelle Moulinier serves as the Vice President of Research and Data Science at Thomson Reuters, a position she has held since 2020. In this role, she focuses on advancing the company's research initiatives and data science capabilities. Her responsibilities include overseeing projects that involve natural language processing, algorithm development, and enhancing customer experience through data-driven insights.
Previous Experience at Thomson Reuters
Isabelle Moulinier has held multiple positions at Thomson Reuters, including Director of Product Innovation from 2015 to 2017, Director of Research from 2014 to 2015, and Lead Research Scientist from 2006 to 2013. During her tenure, she contributed to the development of proprietary search engines and text classification algorithms, enhancing the company's research and development efforts.
Experience at Capital One
From 2017 to 2020, Isabelle Moulinier worked as Senior Director of Data Science at Capital One in the Greater Minneapolis-St. Paul Area. In this role, she led data science initiatives and applied her expertise in information retrieval and usage analytics to improve financial services and customer interactions.
Educational Background
Isabelle Moulinier studied at Pierre and Marie Curie University, where she earned a PhD in computer science with a focus on artificial intelligence from 1990 to 1996. She also attended ENSIIE - École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise, where she obtained a Diplome d'ingenieur in computer science from 1987 to 1990. Her educational background laid the foundation for her extensive career in data science and research.
Expertise in Research and Development
Isabelle Moulinier has a strong background in developing algorithms for information retrieval, query classification, and recommender systems. She specializes in transferring research into production systems, particularly in sectors such as legal, tax, intellectual property, and finance. Her work addresses complex challenges in natural language processing and customer experience.