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) working 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 was also part of the Evidence Synthesis Ireland Fellowship (University of Galway, placed at Unity Health Toronto)where I worked on Dosing of Immune Checkpoint Inhibitors, which was conducted by the Knowledge Translation Program through the Post-Market Drug Evaluation CoLab Network.
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
Data Manager, Clinical Trials Registries & AI at University Medical Center Rostock (DZKJ), Oct 2025 to present
Evidence Synthesis Ireland Fellow at University of Galway and Unity Health Toronto, Nov 2024 to Nov 2026
Research Intern, Causal Inference & ML at Julius Center, UMC Utrecht, Jan to Sept 2025
Deputy Director in Charge of Healthcare at Saint John Clinic, Bujumbura, Jun 2022 to Sept 2023
Part-time Clinician & Research Project Manager at Burundi Red Cross, Jul 2022 to Mar 2023
Skills
Programming: R, Python, Stata, SQL, Git and GitHub
Causal Inference: Target trial emulation, AIPW, IOSW, DAGs, and propensity scores
Evidence Synthesis: Systematic reviews, IPD and aggregate meta-analysis, NMA, Cochrane methods, and GRADE
ML, AI, and NLP: SapBERT, FAISS, Sentence transformers, and Hugging Face
Biomedical Ontologies: ICD-10, MedDRA, SNOMED CT, and MeSH
Tools & Reproducibility: Quarto, R Markdown, Docker, REDCap, OHDSI, and LaTeX
Awards & Honours
VLIR Flemish Scholarship: Full scholarship for the MSc in Epidemiology at the University of Antwerp
EU Intra-Africa Academic Mobility Grant: Support for the MSc in Global Health at Moi University
HTAi Educational Scholarship: Health Technology Assessment International, Canada
ECCMID Outreach Grant: ESCMID support for young scientists from low- and middle-income countries
ESCMID Young Scientist Member: Top 20 selection globally
Publications
Talks & Presentations
Reliable Subgroup Identification and Analysis – Results of the GMDS Biostatistics Competition 2026
Invited presentation with Team CRAKDK — third place among 17 teams and one of five teams invited to present on site.
47th ISCB Annual Conference, jointly with the 71st GMDS Annual Conference
Freiburg im Breisgau, Germany · September 27–October 1, 2026
Updating the evidence base for neonatal therapeutic hypothermia: trial integrity, equity, and the case for individual participant data
Neonatal Resuscitation Symposium (NRS) Scholar. Selected to present at the Emerging Neonatal Resuscitation Science Research Colloquium, held as part of the 9th Annual Neonatal Resuscitation Symposium at Indiana University School of Medicine.
Indianapolis, Indiana, United States · September 10, 2026
View the colloquium programme (PDF) · NRS Symposium information
Artificial intelligence in IPD synthesis
Invited speaker, SMART-IPD (Strengthening Meta-Analysis Research Through Individual Participant Data) workshop, at the Society for Research Synthesis Methodology (SRSM) Annual Meeting.
Chania, Crete, Greece · June 9, 2026
View the SMART-IPD workshop programme (PDF)
CTNR Summer School 2026: Research profile and therapeutic hypothermia evidence synthesis
Participant research presentation, CTNR Summer School 2026.
Centre for Transdisciplinary Neurosciences Rostock (CTNR)
Gut Gremmelin, Germany · September 10–11, 2026
My research profile focused on therapeutic hypothermia for newborns with moderate or severe encephalopathy; systematic reviews and meta-analyses; trial integrity; health equity; and the use of artificial intelligence and causal inference in evidence synthesis.
View the CTNR Summer School programme (PDF) · CTNR Summer School 2026
Contact
Email: rodrigue.ndabashinze@med.uni-rostock.de
I am open to research collaborations, evidence-synthesis projects, and speaking invitations. Feel free to reach out.
University of Rostock profile · GitHub · LinkedIn · Google Scholar · ResearchGate