Matthias Feys
About Matthias Feys
Matthias Feys serves as the Chief Technology Officer at ML6 and holds board positions at Paperbox, uman, and CAPTIC. He is recognized for his expertise in machine learning, having authored several influential blog posts and being the first Google Developer Expert for Machine Learning in Europe.
Work at ML6
Matthias Feys has served as the Chief Technology Officer (CTO) at ML6 since 2014. In this role, he focuses on advancing the company's machine learning initiatives and technical innovations. His leadership has contributed to ML6's reputation in the machine learning ecosystem. Feys has been instrumental in developing strategies that leverage machine learning technologies to solve complex problems.
Board Memberships
Matthias Feys holds several board member positions in various organizations. Since 2020, he has been a board member at Paperbox and uman, both located in Ghent, Flemish Region, Belgium. Additionally, he joined CAPTIC as a board member in 2022. His involvement in these organizations reflects his commitment to fostering innovation and collaboration in the tech community.
Education and Expertise
Matthias Feys has a solid educational background in Electrical Engineering, having earned both a Bachelor of Science (B.Sc.) and a Master of Science (M.Sc.) from Ghent University. His studies spanned from 2008 to 2013. Feys specializes in the development of novel event extraction algorithms using deep learning techniques, showcasing his expertise in machine learning and data science.
Research and Publications
Matthias Feys has authored several blog posts that explore various aspects of machine learning. His writings cover topics such as hybrid machine learning, unblocking ML use cases with limited data, and the applications of discrete diffusion models. He has also discussed the use of synthetic data to enhance object detection models and the principles of data-centric AI to improve outcomes.
Previous Experience
Before his role at ML6, Matthias Feys worked at Datatonic as the Head of Data Science from 2014 to 2017. He also gained experience as a PhD student/researcher at Ghent University from 2013 to 2014. Earlier in his career, he completed internships at Philips in 2011 and Delaware Consulting in 2012, which provided him with foundational experience in the tech industry.