Philipp Röchner

Room: Mail: Office hours:

N/A roechner@uni-mainz.de by appointment

Research interests

• Unsupervised evaluation and selection of anomaly detection models
• Explainable anomaly detection
• Machine learning in medical and health informatics

CV

03/2023 - 06/2023	Research stay with Arthur Zimek and Henrique Oliveira Marques at the University of Southern Denmark
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 using 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

Summer term 2023	Data Science for Business (University of Applied Sciences Mainz)
Winter term 2022	Data Analytics (Johannes Gutenberg University Mainz)