Dipl.-Ing. Dr. Michael Kenn, BSc MScMathematician & Data Scientist
Center for Medical Data Science (Institute of Artificial Intelligence)
Position: Research Associate (Postdoc)
ORCID: 0000-0002-8998-8005
T +43 1 4040066710
michael.kenn@meduniwien.ac.at
Keywords
Artificial Intelligence; Astronomy; Data Science; Mathematical Computing; Mathematics; Neural Networks (Computer); Physics
Research interests
currently I am working on
- Denoising Diffusion Probabilistic Models (DDPM) for image generation
- Application of AI in numerical Mathematics
Techniques, methods & infrastructure
Matlab, Mathematica, High Performance Cluster (HPC)
Selected publications
- Kenn, M. et al. (2023) ‘Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy’, Journal of Personalized Medicine, 13(1), p. 119. Available at: http://dx.doi.org/10.3390/jpm13010119.
- Kenn, M. et al. (2022) ‘Molecular dynamics identifies semi-rigid domains in the PD-1 checkpoint receptor bound to its natural ligand PD-L1’, Frontiers in Bioengineering and Biotechnology, 10. Available at: https://doi.org/10.3389/fbioe.2022.838129.
- Kenn, M. et al. (2022) ‘Decision Theory versus Conventional Statistics for Personalized Therapy of Breast Cancer’, Journal of Personalized Medicine, 12(4), p. 570. Available at: https://doi.org/10.3390/jpm12040570.
- Kenn, M. et al. (2018) ‘Co-expressed genes enhance precision of receptor status identification in breast cancer patients’, Breast Cancer Research and Treatment, 172(2), pp. 313–326. Available at: https://doi.org/10.1007/s10549-018-4920-x.
- Kenn, M. et al. (2017) ‘Gene expression information improves reliability of receptor status in breast cancer patients’, Oncotarget, 8(44), pp. 77341–77359. Available at: https://doi.org/10.18632/oncotarget.20474.