Quentin Grail
About Quentin Grail
Quentin Grail is an Applied Machine Learning Scientist currently employed at Thomson Reuters in Zug, Switzerland. He has a diverse background in machine learning and artificial intelligence, with previous roles at NAVER LABS Europe, Dashlane, and other organizations across Europe and the United States.
Current Role at Thomson Reuters
Quentin Grail serves as an Applied Machine Learning Scientist at Thomson Reuters, a position he has held since 2024. He is based in Zug, Switzerland, where he applies his expertise in machine learning to develop innovative solutions. His role involves leveraging advanced algorithms and data analysis techniques to enhance the company's offerings and improve operational efficiency.
Previous Experience at NAVER LABS Europe
Quentin Grail worked at NAVER LABS Europe from 2018 to 2021 as a PhD student and later as a Research Engineer. During his three years in Grenoble, Rhône-Alpes, France, he focused on applied machine learning research. His experience at NAVER LABS contributed to his development in the field and provided a foundation for his subsequent roles.
Education and Expertise in Artificial Intelligence
Quentin Grail earned his Doctor of Philosophy (PhD) in Artificial Intelligence from Université Grenoble Alpes, completing his studies from 2018 to 2021. He also studied at ENSAI from 2014 to 2017, where he gained knowledge in data science and statistics. His educational background is complemented by various internships and research positions that have honed his skills in machine learning and deep learning.
Experience in Machine Learning Engineering
Quentin Grail has held positions as a Machine Learning Engineer at Dashlane from 2022 to 2023 and as a Data Scientist at Illuin Technology in 2022. His work involved implementing machine learning models and analyzing data to drive business decisions. These roles allowed him to apply his academic knowledge in practical settings, contributing to advancements in technology and data management.
Internships and Early Career Development
Quentin Grail's early career includes various internships that provided foundational experience in the tech industry. He completed a Deep Learning Research Internship at Xerox in 2017 and a Research Internship at Colorado State University in 2016. Additionally, he gained experience in operational roles, such as an internship at O-I in 2015. These positions helped him build a diverse skill set in research and application.