Jan van Haaren

Jan Van Haaren has an extensive background in data analysis and technology, specifically in the field of professional football. Jan has worked for various companies, including Club Brugge, where they currently serve as the Head of Data & Technology. In this role, they have developed custom metrics for player and team evaluation, algorithms for identifying transfer targets, and an automated pre-match opponent analysis report. Prior to this, Jan worked as a Data Scientist at Club Brugge, where they focused on player and team analysis. Other notable positions include Chief Analytics Officer and Chief Product & Technology Officer at SciSports, where they led research and development teams and implemented innovative technologies and products. Jan also has experience as a Data Editor at Electronic Arts, collecting data for the FIFA football game, and has conducted research as a Research Fellow and Doctoral Researcher at KU Leuven, specializing in machine learning and sports analytics. Additionally, Jan has worked as a machine learning researcher at EPFL and as an intern and student at E-KON internet solutions, where they developed software extensions and mobile applications.

Jan Van Haaren has an extensive education history in the field of computer science and artificial intelligence. Jan earned their Bachelor of Science degree in Informatics from KU Leuven in 2010. Following that, they pursued a Master of Science degree in Artificial Intelligence at KU Leuven from 2009 to 2011. Jan Van Haaren continued their education at KU Leuven and completed a PhD in Engineering Science with a specialization in Computer Science and Artificial Intelligence from 2011 to 2016.

In addition to their formal education, Jan Van Haaren has obtained several certifications. Jan completed a Deep Reinforcement Learning Nanodegree from Udacity in January 2019. In February 2018, they obtained certifications in Convolutional Neural Networks, Deep Learning Specialization, Sequence Models, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, and Neural Networks and Deep Learning, all from Coursera.

Jan Van Haaren's educational background demonstrates a strong foundation in computer science, informatics, and artificial intelligence, and their certifications highlight their ongoing commitment to expanding their knowledge and expertise in the field.