Computational Genomics and Systems Genetics
- Functional and Structural Genomics
Prof. Dr. Oliver Stegle
Division Head
Our research group develops and applies computational approaches to study molecular variations and their phenotypic consequences.
Our Research
How does our genetic background shape phenotypic traits or cause cancer? How are genetic and environmental factors integrated at different molecular layers, and how variable are molecular states between individual cells?
We use statistical inference and machine learning as our main tools to address these scientific questions. Growing sample sizes and technological advances demand novel analytical strategies and tools that scale to datasets with millions of observations and account for spatial and temporal dependencies. We develop foundational methods in statistics and machine learning, including efficient parameter inference in models to probe genetic associations and methods for dimensionality reduction.
Find out more about our lab at https://steglelab.org/