Research
Visit our research groups
Please find more information about current research topics on the individual research group websites.
- Computational genetics and epigenetics of cancer (Prof. Valentina Boeva)
- external page Rycolab (Prof. Ryan Cotterell)
- Optimization and Decision Intelligence Group (Prof. Niao He)
- Data Analytics (Prof. Thomas Hofmann)
- Learning and Adaptive Systems (Prof. Andreas Krause)
- Biomedical Informatics (Prof. Gunnar Rätsch)
- external page Learning Reasoning and Education Lab (Prof. Mrinmaya Sachan)
- external page Machine learning and causal inference (Prof. Bernhard Schölkopf)
- Medical Data Science (Prof. Julia Vogt)
- Statistical Machine Learning (Prof. Fanny Yang)
Master projects
To learn about proposed Master projects please refer the individual research group websites or write to the contact person:
Computational Genetics and Epigenetics of Cancer:
Topics / Keywords:
Machine Learning, Transcriptional Regulation, Cancer
Rycolab:
Topics / Keywords:
Natural Language Processing, Computational Linguistics, Machine Learning, Deep Learning
Optimization and Decision Intelligence Group:
Topics / Keywords:
Large Scale Optimization, Machine Learning, Reinforcement Learning, Probabilistic Inference
Data Analytics Lab:
Topics / Keywords:
Machine Learning, ML and Optimization, Generative Models, NLP
Learning and Adaptive Systems Group:
Topics / Keywords:
Machine Learning, Optimization, Uncertainty in ML, Reinforcement Learning
Biomedical Informatics Group:
Admin:
Topics / Keywords:
Machine Learning, Medical Informatics, Cancer Genomics/Transcriptomics, Sequence analysis
Learning Reasoning and Education Lab:
Topics / Keywords:
Machine Learning, NLP, Artificial Intelligence, Tutorial Systems
Empirical Inference: external page https://ei.is.mpg.de
Prof. Bernhard Schölkopf:
Topics / Keywords:
Causal Inference, Generative Models, Kernel Methods, Astronomy, Robotics
Medical Data Science Group:
Topics / Keywords:
Machine Learning, Medical Informatics, Data Mining
Statistical Machine Learning Group:
Topics / Keywords:
Generalization Theory (Kernels and Neural Networks), Distribution Shifts, Uncertainty Estimation