I was very fortunate to have supervised a number of great students on various topics:

• Ričards Marcinkevičs – MS Thesis ‘20 – Causal Inference in Time Series for Identifying Molecular Fingerprints during Sleep
• Ami Beuret – Research Assistant ‘20 – Assistance in the maintenance of the sleep server
• Raphael Suter (done at MPI) – MS Thesis ‘19 – A Causal Perspective on Deep Representation Learning
• Ilija Stanojković (done at MPI) – MS Thesis ‘19 – Reinforcement Learning State-of-the-art in Simulation: Robot Manipulation Case Study
• Linhardt Lorenz – Research Assistant ‘19 – Automatic Human Sleep Scoring – in the context of SleepLoop Flagship Project
• Emil Kr. Feet – MS Thesis ‘19 – Anomaly Detection in Sleep Data for Varying Levels of Supervision
• Linus Handschin – MS Thesis ‘18 – Deep Sensor Fusion for Human Sleep Staging
• Sı́mon Bödvarsson – MS Thesis ‘18 – Unsupervised Segmentation and Labeling of Sleep Data via Interpretable Clustering and Cross-frequency Coupling
• Mélanie Bernhardt – Semester Project ‘18 – Analyzing Brain Connectivity During Sleep
• Vignesh Ram Somath – Research Assistant ‘18 – Developing software for automatic calibration of mass-spectrometry data
• Ilija Stanojković – Research Assistant ‘18 – Developing software for automatic calibration of mass-spectrometry data
• Björn Orri Sæmundsson – Research Assistant ‘18 – Assistance in building up the sleep server
• Benjamin Gallusser – Research Assistant ‘17 – Assistance in building up the sleep server
• Eduard Gence – MS Thesis ‘17 – Automatic Classification of Takotsubo Syndrome from ECG