Bioinformatician specializing in Computational Epidemiology
I'm passionate about data science and its applications in health. I focus on computational epidemiology using machine learning and deep learning to study disease dynamics across species. My interests span One Health and Disease Dynamics — bridging biological insight with technological innovation.
- Geospatial Analysis Intern at Geneva Disease Dynamics (GDD) — Integrating geospatial covariates and implementing GIS in Uvira, DRC
- Scientific Collaborator at VPHI (University of Bern) — Modeling West Nile Virus introduction in Switzerland using temperature-driven SEI–SEIR frameworks
- Co-author of publications in veterinary epidemiology and livestock health
Languages: Python, R, Bash
ML/NLP: BERTopic, BioBERT, scikit-learn
GIS: ArcGIS Pro, QGIS
HPC: SLURM, Ubelix cluster
Tools: Git, Docker
- Certificate in Geomatics — University of Geneva
- MSc Bioinformatics — Universities of Bern & Fribourg (5.5/6)
- BSc Biology — University of Geneva (5.2/6)
- Erasmus exchange at Universidad del País Vasco, Spain
