Philippe C. Dixon
About Philippe C. Dixon
Philippe C. Dixon is a researcher specializing in biomedical data and artificial intelligence, currently working at Hexoskin and serving as an Assistant Professor at Université de Montréal. He has a diverse academic background with degrees from McGill University and the University of Oxford.
Current Role at Hexoskin
Philippe C. Dixon currently serves as a Researcher specializing in biomedical data and artificial intelligence at Hexoskin. He has held this position since 2018, contributing to advancements in health technology and data analysis. His work focuses on integrating artificial intelligence with biomedical applications, enhancing the capabilities of health monitoring systems. Hexoskin is known for its innovative wearable technology that tracks health metrics, and Dixon's role is pivotal in leveraging data to improve health outcomes.
Previous Experience at Harvard T.H. Chan School of Public Health
From 2015 to 2018, Philippe C. Dixon worked as a Research Fellow at Harvard T.H. Chan School of Public Health. During his three years there, he engaged in research that contributed to public health knowledge and practices. This role provided him with a strong foundation in research methodologies and the application of data in public health contexts.
Education and Expertise
Philippe C. Dixon has a robust educational background. He earned a Bachelor of Science (B.Sc.) in Physics, a Master of Science (M.Sc.) in Biomechanics, and a Bachelor of Education (B.Ed.) in Mathematics and Physics, all from McGill University. He further advanced his studies at the University of Oxford, where he obtained a Doctor of Philosophy (Ph.D.) in Biomedical/Medical Engineering from 2011 to 2015. This diverse educational background equips him with a comprehensive understanding of both the physical sciences and biomedical engineering.
Academic Position at Université de Montréal
Since 2020, Philippe C. Dixon has been serving as an Assistant Professor at Université de Montréal. In this role, he is involved in teaching and mentoring students while conducting research in his areas of expertise. His position allows him to contribute to the academic community and influence the next generation of researchers in biomedical data and artificial intelligence.