Current projects at the chair
Through the DFG: Characterizing and understanding the reaction condition space for DNA-encoded chemistry with tailored lab automats and advanced statistics
In the RTG 2624 " Biostatistical Methods for High-Dimensional Data in Toxicology".
Project funded by the “Innovation in der Hochschullehre” Foundation as part of "Freiraum 2023":
In the interdisciplinary field of research "From Prediction to Agile Interventions in the Social Sciences" (FAIR)
In DFG Priority Programme:
- Polymorphe Unschärfemodellierung zur Stabilitätsuntersuchung flüssigkeitsgesättigter Böden und Erdbauwerke
(gemeinsam mit Tim Ricken, TU Dortmund)
In SFB 876 "Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung"
In SFB 823 "Statistical modeling of nonlinear dynamic processes".
In the Research Training Group "Statistical Modeling
Second phase:
- B1: Nonparametric Bayes regression with qualitative structural assumptions (Prof. Dr. Katja Ickstadt, PhD student: Dipl.-Stat. Björn Bornkamp)
- C5: Modeling of signal transmission networks (Prof. Dr. Katja Ickstadt, Prof. Dr. Roland Fried, PhD student: Dipl.-Stat. Claudia Köllmann)
- C6: Spatial modeling of cellular signals (Prof. Dr. Katja Ickstadt, PhD student: Dipl.-Stat. Martin Schäfer).
First phase:
- D2: Simulation of Lévy processes (Prof. Dr. Katja Ickstadt, PhD student: Dipl.-Stat. Björn Bornkamp).
In SFB 475 "Complexity reduction in multivariate data structures".
- C7: Statistical complexity reduction in molecular epidemiology (2003-2009, Prof. Dr. Katja Ickstadt, Prof. Dr. Dr. H.M. Bolt)
DFG funded project
- Measurement and statistical analysis of cluster phenomena in signaling proteins in the plasma membrane (together with Peter Verveer, Max Planck Institute of Molecular Physiology)
Project funded by the German Federal Ministry of Education and Research (BMBF).
- Spatially resolved reverse engineering of protein networks in cell-matrix adhesions (2009-2012)
Other projects
- Spatial models for the analysis and assessment of health indicators using the example of drinking water contamination with perfluorinated compounds (MERCUR- project, together with Jürgen Hölzer, Ruhr-University Bochum)
- EU-Project ESNATS
- Analysis of statistical methods for standardization of diagnostic assays (2003-2006 with Roche Diagnostics GmbH)