Gabriel Krummenacher is working as a Data Scientist and Lead of the Data Science Team at Zühlke and has several years of experience in conducting data analytics and machine learning projects. He holds a PhD from the Institute for Machine Learning at ETH, where he worked on scalable methods for large-scale and robust learning, wheel defect detection and sleep stage prediction with deep learning. He received a M.Sc. in computer science from ETH Zurich in 2011. He was a visiting researcher at the NICTA Bioinformatics group in Melbourne and interned in the Trading Technology Team at Axa Rosenberg in San Francisco.