Wouter Daniels has worked for TrendMiner as a Data Analytics Engineer for the past three years. He helps train and advise companies to get the most out of their stored time-series process data and uses customer feedback to help improve the self-service data analytics software. Wouter also provides custom solutions for more complex cases. He earned his PhD in Chemical Engineering at the University of Leuven, where he studied data analysis and modeling of biochemical systems with the goal of increasing bioproduct yields.