Co-authors
32
list available
Resume (English only)
Academic Achievements
- Research achievements include using computational approaches to visualize, explore, and quantify the manifolds of neural data.
Research Experience
- Leads the newly established methodological group 'Neural Data Science and Statistical Computing'; provides support in areas such as experimental design, statistical models, image analysis, or machine learning; research is supported by BMBF (Federal Ministry of Education and Research) through ACONITE (01IS22065) and ScaDS.AI. Leipzig, and by the European Union and the Free State of Saxony through BIOWIN.
Background
- Focuses on neural data science and statistical computing, aiming to understand the structures within complex biomedical data.
Miscellany
- Has done a great deal of work on stem cells and zebrafish, now focusing on neurons and the brain.