Daniel Suess

Daniel Suess is currently a Principal Data Scientist at Nearmap, where Daniel previously held the position of Senior Data Scientist. Prior to their role at Nearmap, Daniel was a Senior Machine Learning Engineer at Max Kelsen. Daniel has extensive experience in the field, having worked as a Senior Machine Learning Engineer at Silverpond and as a Machine Learning Engineer at the University of Cologne. Daniel Suess holds a PhD in Theoretical Quantum Physics from the University of Cologne, and a Master's degree in Theoretical and Mathematical Physics from Technische Universität Dresden.