Research-grade bioinformatics expertise in RNA structure prediction, evolutionary algorithm design, and funded proof-of-concept consulting projects.
Postdoctoral Researcher, University of Leipzig / ScaDS.AI, Germany 01.2023 – 12.2025
- Independent research in evolutionary algorithms, RNA-seq data analysis, drug delivery, and ML techniques for RNA folding and inverse folding
- Contributed to the group's broader machine-learning-for-biology projects
PhD Researcher, Evolutionary Computation for RNA Design, Max Planck Institute, Leipzig 09.2018 – 12.2022
- Developed aRNAque, an evolutionary algorithm for inverse pseudoknotted RNA folding inspired by Lévy flights (BMC Bioinformatics, 2022)
- Co-developed RAFFT, an FFT-based method for predicting RNA folding pathways (PLoS Computational Biology, 2022)
Funded Consulting Project: ECIP-CFP, ScaDS.AI, Leipzig 06.2026 – 11.2026
- Awarded ≈ €20,000 to build a proof-of-concept Random Forest-driven RNA design tool-selection platform