Bayesian calibration, process modeling and uncertainty quantification in biotechnology. - Laura Marie Helleckes; Michael Osthege; Wolfgang Wiechert; Eric von Lieres; Marco Oldiges (PLoS Comput. Biol., 2022)

PyMC: a modern, and comprehensive probabilistic programming framework in Python. - Oriol Abril Pla; Virgile Andréani; Colin Carroll; Larry Dong; Christopher Fonnesbeck; Maxim Kochurov; Ravin Kumar; Junpeng Lao; Christian C. Luhmann; Osvaldo A. Martin; Michael Osthege; Ricardo Vieira; et al. (PeerJ Comput. Sci., 2023)

Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in Germany. - Elisabeth K. Brockhaus; Daniel Wolffram; Tanja Stadler; Michael Osthege; Tanmay Mitra; Jonas M. Littek; Ekaterina A. Krymova; Anna J. Klesen; Jana S. Huisman; Stefan Heyder; Laura Marie Helleckes; Matthias an der Heiden; et al. (PLoS Comput. Biol., 2023)

Automated Processing of Pipelines Managing Now- and Forecasting of Infectious Diseases. - M. Shahbaz Memon; Johann F. Jadebeck; Michael Osthege; Anna Wendler; David Kerkmann; Henrik Zunker; Wolfgang Wiechert; Katharina Nöh; Jens Henrik Göbbert; Björn Hagemeier; Morris Riedel; Martin J. Kühn (MIPRO, 2024)

PeakPerformance - A tool for Bayesian inference-based fitting of LC-MS/MS peaks. - Jochen Nießer; Michael Osthege; Eric von Lieres; Wolfgang Wiechert; Stephan Noack (J. Open Source Softw., 2024)