معرفی
Prof. Dr. Martin Spindler is a Professor for Statistics at the Department of Statistics with Application in Business Administration, University of Hamburg Business School. His research bridges Econometrics, Statistics, and Machine Learning, focusing on high-dimensional methods, causal inference, and applications in finance, insurance, and health economics.
- Current position since 2016
- Visiting Professor at University Mannheim (2016), Boston College (2015), and MIT (2015, 2013-2014)
- Senior Researcher at Max Planck Society (2012-2016)
Education:
- PhD in Economics, University of Munich (2012)
- Master in Mathematics and Economics, University of Munich (2008) and Regensburg (2003)
- B.A. in Mathematics, University of Regensburg (2005)
His methodological work includes L2Boosting for treatment effect estimation, double machine learning frameworks, and nonparametric approaches for asymmetric information. Applications span from fraud detection in claims management to pandemic shielding strategies and financial forecasting.
Research Trends: Recent publications emphasize high-dimensional statistical methods, causal machine learning, and interdisciplinary applications. Key tools include double machine learning, attention networks, and transformation models.
Collaborations: Active partnerships with institutions like MIT, Boston College, and Max Planck Society, alongside contributions to open-source software (e.g., DoubleML, hdm package).
