Team, supervision, teaching

Researcher:

Kristina Müller (SaxoCell NK-Alliance and MSC-Ready)

Student assistants:

• Luca Thale-Bombien, jointly supervised with Aaron Klein, ELLIS Institute Tübingen
• Alicia Diem (Developing agentic system for screening of third-party funding opportunities)
• Susi Schneider (Multi-omics integration in cancer research)
• Miriam Laube (SaxoCell MSC-Ready)

Current theses supervision:

• Jonathan Kind (UL, M. Sc. Data Science) Explainable biomedical data modality translation with ontology-based cross-modal autoencoders
• Christian Bäuchl (FernUni Hagen) Implementation and benchmarking of three-dimensional variational autoencoders for analysis of stroke imaging
• Nicko Kornetzky (UL, M. Sc. Data Science) Estimation and automated adjustment loss term weights in variational autoencoders

Alumni and past supervisions:

• Dusan Prascevic (GRAMMY and MIRACLE)
• Gergely Pogany (GRAMMY)
• Maximilian Joas (SaxoCell and AUTOENCODIX)
• Vincent David Friedrich (SaxoCell)
• Wassili Dimitriew (PhD student, FSU Jena)
• Alessandra Francheschi (Visiting PhD student, University of Verona)

Bachelor and Master theses:

• Ralf König Meta hyperparameter tuning for multi-omics data integration by autoencoders
• Isabella Kreller Implementation and comparison of post-hoc explainability methods for autoencoders and multi-omics data
• Moritz Fröhlich Benchmarking Large-Language-Models for Knowledge-driven Feature Selection in Disease Prognosis on Genetic Data
• Jerome Hamid Keyaniyan “Machine Learning basiertes Spieler-Profiling im Fußball”
• Leo Seeger Benchmarking of federated learning tools for the analysis of gene expression data