is a data scientist at KPMG NL. Roel has a background in applied physics, with a specialization in solid state physics. Roel has experience in proof-of-concepts and reviewing existing products containing advanced analyses using statistical and artificial intelligence methods. For example, predicting railroad switch failures and finding causes of blocked valves in district heating networks.
