Thomas Janssens
About Thomas Janssens
Thomas Janssens is a Machine Learning Engineer with extensive experience in computer vision and advanced machine learning applications. He has held various roles in research and industry, including positions at Bayer Crop Science and BASF, and currently leads a team at ML6 in Ghent, Belgium.
Work at ML6
Thomas Janssens has been employed at ML6 as a Machine Learning Engineer since 2020. In this role, he focuses on delivering machine learning solutions and managing a team as a Squad Lead. His responsibilities include overseeing project delivery and fostering the professional development of team members. His work at ML6 emphasizes the application of advanced machine learning techniques in various projects.
Education and Expertise
Thomas Janssens holds a Doctor of Philosophy (Ph.D.) in Biomedical Sciences from KU Leuven, which he completed from 2011 to 2015. He also earned a Master of Engineering (M.Eng.) in Computer Science from the same institution, studying from 2006 to 2011. His educational background provides a strong foundation in both biomedical and computational fields, contributing to his expertise in machine learning applications.
Background
Before joining ML6, Thomas Janssens gained diverse experience in the field of machine learning and data science. He worked as a Visiting Scientist at Bayer Crop Science and BASF, where he contributed to projects in the Gent Area, Belgium. He also held positions as a Data Scientist at BASF and a Technologist Intern at Made by Many in London. His early career included roles as a Student Researcher and Postdoctoral Researcher at KU Leuven.
Achievements
Throughout his career, Thomas Janssens has served as a Tech Lead on projects that utilize advanced machine learning applications, including speech recognition and object detection. He has also written about effectively labeling images for computer vision projects and discussed approaches to uncertainty in machine learning, covering topics such as forecasting, regression, and classification models. His experience includes delivering machine learning solutions for schedule and sales optimization.