Summary
Martin Spindler is a director and professor specializing in statistics, machine learning and econometrics with over a decade of experience applying ML, AI and causal inference to business decision-making. He leads Economic AI, translating research-grade causal methods into practical solutions like dynamic pricing and consumer-behavior analysis, while maintaining a professorship in Data Science, Statistics and Econometrics at Universität Hamburg. His background includes postdoctoral work at the Max Planck Society and a visiting scholarship at MIT, reflecting a strong research pedigree anchored by a PhD in Econometrics and dual Diploms in Mathematics and Economics. Known for bridging academic rigor with commercial impact, he leverages a global network of scholars to deliver bespoke analytics that prioritize causal insight over black-box prediction.
10 years of coding experience
4 years of employment as a software developer
Diplom Economics, Diplom Economics at University of Regensburg
Doktor (Ph.D.) Econometrics, Doktor (Ph.D.) Econometrics at Ludwig-Maximilians-Universität München
Visiting PhD student Economics, Visiting PhD student Economics at Columbia University