Tony Hauptmann, M.Sc.

Johannes Gutenberg-Universität Mainz
Room: 03-623
Institut für Informatik
Staudingerweg 9
55128 Mainz, Germany

E-Mail: thauptmann@uni-mainz.de
ORCID iD icon https://orcid.org/0000-0003-1964-6568

Research Interests

  • Deep Learning
  • Bias Mitigation
  • Multi-Omics
  • Machine Learning in Health Care
  • Image Analysis

Activities

Short Scientific CV

since 04/2020 Research Associate at Johannes Gutenberg University in Mainz
03/2018 - 12/2019 Software Developer 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

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
Hauptmann, T., Fellenz, S., Nathan, L., et al. (2023). Discriminative machine learning for maximal representative subsampling. SCIENTIFIC REPORTS, 13(1). DOI Author/Publisher URL
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 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