Teaching
I offer courses and workshops on statistics, experimental design, and artificial intelligence for researchers at all levels. Whether you need a foundational introduction or advanced methods training, I can tailor the content to your team’s needs.
Workshop Topics
Statistics & Data Analysis
- Basic statistics for researchers
- When to use which statistical test?
- Linear and non-linear regression
- Classification methods
Experimental Design
- Sample size calculation
- Planning animal experiments
- Reproducibility and study design
- Regulatory requirements (3Rs)
Software & Tools
- Introduction to R
- GraphPad Prism for experimentalists
- Data visualization best practices
- Reproducible analysis workflows
Machine Learning & AI
- Introduction to machine learning
- Supervised and unsupervised learning
- AI applications in preclinical research
- Practical implementations in R/Python
Curricular Courses at MHH
At Hannover Medical School, I regularly offer two courses for staff and students (approximately every six months):
| Course | Description | Language |
|---|---|---|
| Basic Statistics | Fundamentals of statistics for laboratory animal science | German/English |
| Experimental Design | Power analysis and preparation of animal experiment applications | German/English |
Current dates and registration are available through the internal course catalogue (in German).
Custom Training
Looking for a course tailored to your research group or institution? I’m happy to develop workshops that address your specific needs, whether that’s a half-day introduction or a multi-day intensive training.
Contact me to discuss your requirements.
Most statistics courses use GraphPad Prism for accessibility. Participants need a valid license or can use the 30-day trial version. R-based courses require a working R/RStudio installation.