Karel Vanhoorebeeck is a Data Scientist with a MSc. in Computer Science. During his studies at Ghent University, both Machine Learning and Artificial Intelligence sparked his interest. For his thesis, Karel worked on the European AMARSi project, developing dynamic gaits for the compliant, quadruped Oncilla robot.
Before joining the Data Science team at Sentiance, Karel worked at Flanders Make, a strategic research institute bridging the gap between university research and private companies in Flanders. There, he worked on various projects related to mobile robotics, machine vision and adaptive sensing.
Sentiance offers real-time Ambient Intelligence automated through a proprietary sensor fusion platform to enterprises, DMPs, SMEs and mobile app developers. The platform empowers companies to build behavioral profiles of connected users and enriching those profiles with personalized, predictive and context-aware services.