Philipp Spiess, a Data Scientist at ei3 Zurich, specializes in signal processing, clustering, and supervised learning algorithms. His work focuses on applying data science to manufacturing challenges, such as assessing hydraulic pump health, evaluating injection molding machine part quality, and monitoring industrial network conditions. 

Philipp’s mission is to enhance machine efficiency, conserve energy, and contribute to a sustainable future. Originally from Geneva, he studied engineering at the Institute of Technology in Lausanne (EPFL). He is an avid reader, an enthusiastic skier, and enjoys playing basketball.