Jesse Davis

His research focuses on developing novel artificial intelligence and machine learning techniques, with a particular emphasis on analyzing structured data. Jesse’s passions lie in using these techniques to make sense of lifestyle data, address problems in (elite) athlete monitoring and detecting anomalies. His work on sports analytics is well known and frequently featured in the international media. He a cofounder of the KU Leuven spinoff runeasi, which focuses on providing real-time biomechanical feedback about running quality.