Projects
pammtools
R package for fitting and analyzing piece-wise exponential additive mixed models (PAMMs) for survival analysis. Flexible modeling of time-varying effects, cumulative effects, and competing risks.
Documentation | CRAN | GitHub
mlr3proba
R package extending the mlr3 ecosystem for probabilistic predictions and survival analysis. Unified interface for survival learners, measures, and prediction types.
Menstrual Blood AI
Exploring menstrual blood as a non-invasive diagnostic tool using AI. Targeting early detection of endometriosis, diabetes, and cancer biomarkers from an underutilized biological resource.
Machine Learning in Survival Analysis
Online textbook co-authored with Raphael Sonabend covering machine learning methods for survival analysis. Includes theory, worked examples in R, and practical guidance for practitioners.
coalitions
R package for Bayesian estimation of coalition probabilities in multi-party democracies. Combines survey data with MCMC sampling to estimate seat distributions and coalition scenarios.
Documentation | CRAN | GitHub
CODAG — COVID-19 Data Analysis Group
Collaborative research initiative at LMU Munich analyzing COVID-19 infection data, disease progression, and resource demand forecasting. Joint effort of the Institute for Statistics, the Institute for Medical Informatics, Biometrics and Epidemiology, and LMU’s Data Science Initiative.