Statistical modelling and data analysis pipelines for high-throughput biological data, with hands-on teaching in scientific Python.
Postdoctoral Researcher — Data-driven RNA Biology, University of Leipzig / ScaDS.AI 01.2023 – 12.2025
- RNA-seq data analysis and drug-delivery data modelling
- Built ML pipelines for RNA folding and inverse-folding datasets
Teaching: Advanced Python Programming for Data Science, University of Leipzig 01.2023 – 12.2025
- First-year Master's course; materials published at fmi08icds.github.io
Technical Toolkit
- Deep learning: JAX, TensorFlow, PyTorch
- Statistics & modelling: scikit-learn, statsmodels, patsy
- Numerical optimisation: NumPy, SciPy
- Data preprocessing: Pandas, PyArrow
- Visualisation: matplotlib, seaborn