- “Development of a Deep Learning Model for the Detection and Prediction of Characteristic Fragmentation Patterns in Lipid Mass Spectra”
- “Network Integration of Metabolome and Microbiome Data using Local Search Optimisation”
- “Imputing Common Lipids to Improve Network Connectivity of Lipid Metabolic Networks”
Molecular Biotechnology/Biology
Link to heading
- “A Network-based Meta-Analysis to Link Nutritional Metabolites to Lipid Metabolism and Related Diseases”
- “Integrating Subcellular Localization Patterns into Embedding Methods for RNA Sequencing Data”
- Optimal Transport and Applications (Summer 2025)
- Data Analysis for RNA Sequencing (Winter 2024/25)
- Data Analysis for the Life Sciences (Winter 2024/25)
- Computational Biochemistry (Winter 2020/21, Winter 2021/22, Winter 2022/23)
- Systems BioMedicine Course Project Supervision (Winter 2020/21, Winter 2021/22, Winter 2022/23)
- Problem Based Learning (Winter 2021/22)