Johannes Gutenberg University Mainz
Institut für Informatik
Staudingerweg 9
55128 Mainz, Germany
E-Mail: thauptmann@uni-mainz.de
Room: 03-623
https://orcid.org/0000-0003-1964-6568
Research Interests
- Deep Learning
- Knowledge Extractions
- Debiasing
- Multi-Omics
- CNNs
especially w.r.t health care
Activities
- part of DIASyM
Short Scientific CV
since 04/2020 | Research Associate at Johannes Gutenberg University in Mainz |
03/2018 - 12/2019 | Research Associate at Department of Medical Informatics at University Medical Center Mainz |
10/2014 - 08/2017 | Computer Science (M.Sc.) at University of Münster |
10/2011 - 09/2014 | Computer Science (B.Sc.) at University of Münster |
Publications
2023
Lerner, R., Baker, D., Schwitter, C., et al. (2023). Four-dimensional trapped ion mobility spectrometry lipidomics for high throughput clinical profiling of human blood samples. Nature Communications, 14(1). DOI
Hauptmann, T., Kramer, S. (2023). A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction. BMC BIOINFORMATICS, 24(1). DOI Author/Publisher URL
2022
Hauptmann, T., and Kramer, S. (2022). A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction. Author/Publisher URL