Summary
Markus Loecher is a professor at the Berlin School of Economics and Law with 15 years of experience bridging academic research and applied data science in machine learning, econometrics, and explainable AI. His background spans physics and statistics (PhD in physics, Master's in statistics), and he has led teams and startups—from founding a statistical consultancy to serving as Lead Scientist at Sense Networks—building spatiotemporal models, anomaly detection, and scalable geostatistical solutions. Known for combining rigorous theoretical foundations (chaos and stochastic pattern formation) with pragmatic engineering, he applies dimensionality reduction and feature-attribution techniques to make complex models interpretable. Based in Berlin, he brings a rare mix of academic depth and industry impact, often translating advanced inference methods into tools for real-world decision making.
15 years of coding experience
12 years of employment as a software developer
PhD, physics, PhD, physics at Ohio University
Masters, statistics, Masters, statistics at Rutgers University
German