| Room: Mail: Office hours: |
N/A roechner@uni-mainz.de by appointment |
Contents
Research interests
- Unsupervised evaluation and selection of anomaly detection models
- Explainable anomaly detection
- Machine learning in medical and health informatics
CV
| Since 06/2020 | Research assistant and doctoral candidate at the chair of information systems and business administration (Johannes Gutenberg University Mainz) |
| 10/2017 - 09/2019 | Business consultant for the optimization of processes by application of machine learning (PA Consulting, Frankfurt) |
| 10/2013 - 09/2017 | Master of Science in Mathematics (Julius Maximilians University Würzburg) Focus: Inverse problems |
| 02/2016 - 02/2017 | Trainee and working student for business development of European rail freight transport (Deutsche Bahn, DB Netz AG, Frankfurt) |
| 10/2012 - 09/2013 | Study exchange as part of the ERASMUS exchange program (Université Catholique de Louvain-la-Neuve, Belgium) |
| 10/2010 - 09/2012 | Bachelor of Science in Mathematics with a minor in Physics (Technical University Darmstadt) |
Talks
| 09/2022 | Workshop on Anomaly and Change Point Detection in Kaiserslautern organized jointly by the German Research Center for Artificial Intelligence and Fraunhofer Institute for Industrial Mathematics ITWM. Unsupervised Anomaly Detection of Implausible Electronic Health Records: A Real-World Evaluation in Cancer Registries |
| 05/2022 | 16th Symposium of the German Association for Documentation and Information Management in Medicine in Leipzig Quality Assurance of Cancer Registry Data through Anomaly Detection |
| 09/2021 | Workshop on Record Linkage of the German Society for Medical Informatics, Biometry, and Epidemiology Improving Record Linkage Quality with Machine Learning |
Teaching
| Winter term 2022 | Data Analytics |