Hi, I’m Rodrigue Ndabashinze! 👋
I am Rodrigue Ndabashinze, a medical doctor (MD, University of Burundi, 2022) and epidemiologist (MSc Epidemiology, University of Antwerp, 2025 — Distinction) specialising in evidence synthesis, causal inference, and NLP-driven clinical trial registry harmonisation.
Currently I am a Data Manager for Clinical Trials Registries & AI at the University Medical Center Rostock (Germany), within the German Centre for Child and Adolescent Health (DZKJ).
I am also an Evidence Synthesis Ireland Fellow (University of Galway, placed at Unity Health Toronto), contributing to the Post-Market Drug Evaluation (PMDE) CoLab Network and a Cochrane systematic review on therapeutic hypothermia for neonatal hypoxic-ischaemic encephalopathy.
My research interests span causal inference (target trial emulation, AIPW, IOSW transportability), NLP for biomedical text, meta-analysis (IPD & aggregate), and reproducible research workflows.
I am open for research collaborations, evidence synthesis projects, and speaking invitations. Feel free to reach out!
Experience
- University Medical Center Rostock, 2025-present
Rostock, Germany
- Julius Center, UMC Utrecht, Jan-Sept 2025
Utrecht, Netherlands
- Saint John Clinic, Jun 2022-Sept 2023
Bujumbura, Burundi
Education
- MSc Epidemiology (Distinction), 2025
University of Antwerp
- MSc Global Health & Infectious Diseases, 2023
Moi University, Kenya
- Doctor of Medicine (MD) (Distinction), 2022
University of Burundi
Experience
- 🏥 Data Manager, Clinical Trials Registries & AI — University Medical Center Rostock (DZKJ), Oct 2025–Present
- 🔬 Evidence Synthesis Ireland Fellow — University of Galway / Unity Health Toronto, Nov 2024–Nov 2026
- 📊 Research Intern, Causal Inference & ML — Julius Center, UMC Utrecht, Jan–Sept 2025
- 🩺 Deputy Director in Charge of Healthcare — Saint John Clinic, Bujumbura, Jun 2022–Sept 2023
- 🌍 Part-time Clinician & Research Project Manager — Burundi Red Cross, Jul 2022–Mar 2023
Skills
- 💻 Programming: R, Python, Stata, SQL, Git/GitHub
- 🎯 Causal Inference: Target trial emulation, AIPW, IOSW, DAGs, Propensity scores
- 📚 Evidence Synthesis: Systematic reviews, IPD & aggregate meta-analysis, NMA, Cochrane methods, GRADE
- 🤖 ML / AI / NLP: SapBERT, FAISS, Sentence transformers, Hugging Face
- 🏷️ Biomedical Ontologies: ICD-10, MedDRA, SNOMED CT, MeSH
- 🛠️ Tools & Reproducibility: Quarto, R Markdown, Docker, REDCap, OHDSI, LaTeX
Awards & Honours
- 🏆 VLIR Flemish Scholarship — Full scholarship for MSc Epidemiology, University of Antwerp
- 🌍 EU Intra-Africa Academic Mobility Grant — MSc Global Health, Moi University
- 🎓 HTAi Educational Scholarship — Health Technology Assessment International, Canada
- 🦠 ECCMID Outreach Grant — ESCMID, supporting young scientists from LMICs
- ⭐ ESCMID Young Scientist Member — Top 20 Selection globally
Publications
Recent posts
Contact
📧 Email: rodrigue.ndabashinze@med.uni-rostock.de
I am open for research collaborations, evidence synthesis projects, and speaking invitations. Feel free to reach out!