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I am a Junior Professor with Tenure Track at the Department of Statistics at TU Dortmund University and lead the Junior Research Group Biostatistical Methods for Environmental Medicine at the Leibniz Research Institute for Environmental Medicine (IUF) in Düsseldorf, Germany.
Our group develops statistical and machine learning methods for high-dimensional biomedical and environmental health data, with a focus on variable selection, prediction, uncertainty quantification and interpretable modelling. For more details, see our group website at IUF.
Previously, I was Interim Professor of Computational Statistics at RWTH Aachen University during the winter semester 2023/24. Before that, I was a postdoctoral researcher in the group Statistical Methods in Epidemiology at the University of Bonn. See also my CV.
I am an Associate Editor of the Journal of the Royal Statistical Society, Series C (Applied Statistics).
For links to selected papers, see Research. The full list of publications is available on Google Scholar.
For information on current courses, see Teaching.
News
April 2026: New publication in PNAS on Detecting gene–environment interactions to guide personalized intervention: Boosting distributional regression for polygenic scores, together with Q. Wu, H. Klinkhammer, K. Kunwar, C. Maj and A. Mayr.
Spring 2026: Invited talks on polygenic score modelling, high-dimensional omics and biostatistical perspectives for One Health at SMSA 2026 in Würzburg, the Leibniz Research Alliance Resilient Ageing online workshop, and the One Health – Public Health – Environment workshop in Essen.
February 2026: One-week research stay and colloquium talk at the Biometris group at Wageningen University in the Netherlands. Collaboration with Pariya Behrouzi on causal structure learning and robust prediction.
9 October 2025: Leibniz im Landtag NRW, participation in the dialogue format between science and politics at the NRW state parliament in Düsseldorf. In-depth individual discussions with two members of the parliament on Teaching and Research in the Age of AI: From Statistics to Environmental Medicine.
October 2025: The DFG-funded Research Training Group 2624 Biostatistical Methods for High-Dimensional Data in Toxicology has entered its second funding period. I am PI in two projects on single-cell RNA data analysis and sparse polygenic models for cross-population generalizability and causal environmental analysis.
Winter Semester 2025/26: Seminar Selective Inference for MSc Statistics, MSc Data Science and MSc Econometrics students at TU Dortmund University.
March 2025: Elected deputy speaker of the IBS-DR working group Population Genetics and Genome Analysis.
24 March 2025: DAGStat 2025 Tutorial, "Variable selection and prediction modelling for high-dimensional genomic data", together with Hannah Klinkhammer.
4 February 2025: Dortmunder Tag der Statistik (DOTS 2025), für Schüler*innen der SEK II, Lehrer*innen, Eltern und alle Interessierten an einem Studium der Statistik und Data Science. Vortrag: "Verstehen und Vorhersagen: Statistik und Machine Learning in der Biomedizin". Bericht
Summer Semester 2025: New course Sparse Modelling of High-Dimensional Biomedical Data for MSc Statistics & MSc Data Science students at TU Dortmund University. Course introduction video
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