معرفی
Dr. Philipp Bach is a Researcher at the University of Hamburg Business School's Department of Statistics with Application in Business Administration. He holds a PhD in Economics from Hamburg University (2021) and a Postdoc in Statistics (since 2021). His research focuses on causal inference using machine learning methods, high-dimensional econometrics, and applications in labor, health, and financial economics. Key areas include hyperparameter tuning for causal estimation, sensitivity analysis, and difference-in-difference models.
His work emphasizes practical implementations, such as the DoubleML package for R and Python, which facilitates double machine learning techniques. He has published in top journals like the Journal of the Royal Statistical Society and Journal of Statistical Software. Current projects explore multimodal data causal estimation and pandemic shielding strategies using SEIR models. No formal awards are listed, but his contributions are widely recognized in computational econometrics.
Bach advises no listed students but collaborates with institutions like Booking.com on sensitivity analysis applications. His lab focuses on bridging machine learning and traditional econometric methods for real-world policy analysis.
