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Dr. Theresa Ullmann

Center for Medical Data Science (Institute of Clinical Biometrics)
Position: Research Associate (Postdoc)

ORCID: 0000-0003-1215-8561


Biostatistics; Models, Statistical; Prognosis; Regression Analysis

Selected publications

  1. T. Ullmann, S. Peschel, P. Finger, C. L. Müller*, A.-L. Boulesteix*, 2023. Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering. PLOS Computational Biology, DOI: 10.1371/journal.pcbi.1010820. *contributed equally.
  2. T. Ullmann, A. Beer, M. Huenemorder, T. Seidl, A.-L. Boulesteix, 2022. Over-optimistic evaluation and reporting of novel cluster algorithms: An illustrative study. Advances in Data Analysis and Classification, DOI: 10.1007/s11634-022-00496-5.
  3. T. Ullmann, C. Hennig, A.-L. Boulesteix, 2022. Validation of cluster analysis results on validation data: A systematic framework. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12(3):e1444.
  4. B. Bischl, M. Binder, M. Lang, T. Pielok, J. Richter, S. Coors, J. Thomas, T. Ullmann, M. Becker, A.-L. Boulesteix, D. Deng, M. Lindauer, 2023. Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, DOI: 10.1002/widm.1484.
  5. C. Stachl, Q. Au, R. Schoedel, S. D. Gosling, G. M. Harari, D. Buschek, S. T. Völkel, T. Schuwerk, M. Oldemeier, T. Ullmann, H. Hussmann, B. Bischl, M. Bühner, 2020. Predicting personality from patterns of behavior collected with smartphones. Proceedings of the National Academy of Sciences 117 (30): 17680-17687.