Martin Spindler is a Professor of Data Science, Statistics & Econometrics at the University of Hamburg and the founder of Economic AI. Specializing in the theory and application of Machine Learning and AI — especially Causal Machine Learning — he holds degrees from the University of Regensburg and University of Munich, where he also earned his PhD. A regular visiting scholar at MIT, Martin established Economic AI to help businesses harness state-of-the-art solutions for a competitive edge.

Heinrich Kögel is the Head of Data Science Solutions at Economic AI. He earned his Ph.D. in Quantitative Economics from the University of Munich and has a background in Economic Research. Heinrich has extensive experience in leading data science projects, leveraging both causal and traditional machine learning methods, as well as statistical modelling, to create value from data in fields such as finance, marketing, and pricing.

Sven Klaassen is the Head of Software Development at Economic AI. He obtained a Master in Business Mathematics and a Ph.D. in Economics from the University of Hamburg. In 2022 Sven was a visiting scholar at MIT and has been working actively in research on the combination of Machine Learning and Causal Inference. Currently, he is maintaining and extending the open-source package DoubleML.

Philipp Bach is Head of Trainings & Executive Education and is passionate about teaching basic and advanced topics of Causal ML. He currently holds the position of a post-doctoral researcher at the University of Hamburg. His research focuses on implementations and applications of cutting-edge approaches of Causal ML