Current Master’s Theses in the Master’s program in Data Science
| Name | Working Title of the Master`s Thesis |
| Ngwefor Ndinyanka | The relationship between sharpness dynamics and learning rate scheduling in training large language models. |
| Oleksandra Toporko | Narrative Inflation Forecasting: Constructing High-Frequency Indicators from News Using Natural Language Processing |
| Anastasiia Popova | Developing a Generative Model for Global Medium-Range Probabilistic Weather Forecasting |
| Soham Roy | FLOWERS for point clouds and meshes |
| Tom Marvin Schmiedtke | Atrial Fibrillation and Brain Aging: Evidence from MRI-based Brain Age Paradigms |
Completed Master’s Theses in the Master’s program in Data Science
| Name | Titel of Master`s Thesis |
| Joel Vetterlin | Assessing the Performance of Masked Diffusion Language Models on the ARC Benchmark |
| Yannick Martin | Biomarker-Enhanced Machine Learning for Predicting Postoperative Outcomes in Coronary Artery Bypass Grafting |
| Alessandro Stanghellini | Different Privacy in Optimization through the Lens of Stochastic Differential Equations |
| Guillaume Joyet | Time-Resolved EEG Decoding with Foundation Models |