A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave (with J. Bracher, D. Wolffram, J. Deuschel, J.L. Ketterer, A. Ullrich, S. Abbott, M.V. Barbarossa, D. Bertsimas, S. Bhatia, M. Bodych, N.I. Bosse, J.P. Burgard, J. Fuhrmann, S. Funk, K. Gogolewski, Q. Gu, S. Heyder, T. Hotz, Y. Kheifetz, H. Kirsten, T. Krueger, E. Krymova, M.L. Li, J.H. Meinke, K. Niedzielewski, T. Ożański, F. Rakowski, M. Scholz, S. Soni, A. Srivastava, J. Zieliński, D. Zou, T. Gneiting, M. Schienle)  Nature Communications,  2021, Vol. 12, 5173, [Paper], [platform], [pre-registration]

How have German University Tuition Fees Affected Enrollment Rates: Robust Model Selection and Design-based Inference in High-Dimensions (with M. Schienle), submitted, KIT working paper, [arXiv] (updated 01/2021)

Predicting Property Prices Using Augmented Crime Data: Extracting Information from Satellite Images with Convolutional Neural Networks (with J. Deuschel and M. Schienle), KIT working paper

Predicting Value at Risk for Cryptocurrencies Using Generalized Random Forests (with J. Meirer and M. Schienle), KIT working paper

Using Knockoffs to Identify Important Factors of Bond Recovery Rates (with A. Nazemi and M. Schienle), work in progress

Measuring Inflation Expectations with AirBnB Data (with M. Schienle), work in progress

[CV] (Stand 01/2021)