Alexander Lange

Alexander Lange is an accomplished data scientist and researcher with extensive experience in applied statistics and econometrics. Starting with internships at Nordwestdeutsche Forstliche Versuchsanstalt and DIW Berlin, Lange contributed to statistical modeling and time series analyses. A PhD researcher at Georg-August-Universität Göttingen, with a focus on software development for optimization and causal effect detection, culminating in a Doctor of Philosophy degree earned summa cum laude. In a recent role at adidas, Lange leveraged machine learning for probabilistic forecasting, significantly optimizing demand planning across multiple markets. Currently serving as a Senior Data Scientist at Vattenfall, Lange continues to advance data-driven methodologies while previously consulting for the Bank for International Settlements on uncovering causal relationships in time series data.