Machine learning research and deployment, including federated learning systems for privacy-preserving healthcare AI.
Postdoctoral Researcher — ML for Biology, University of Leipzig / ScaDS.AI 01.2023 – 12.2025
- Applied machine learning techniques to RNA folding and inverse folding
- Supervised assistant research students on ML-driven projects
- Taught Master's students first-year advanced Python programming for Data Science
Federated Learning for Precision Medicine, GenoMed4All & Synthema Consortia 2024 – 2025
- Contributed to an AI-based federated learning platform for rare hematological diseases (Blood, 2024)
- Survival-model optimisation via federated learning, combining simulation and experiment (IEEE BigData, 2024)
Deep Learning Specialisation, deeplearning.ai 12.2018 – 03.2019
- Certified coursework covering neural network foundations and applied deep learning