Rodrigue Ndabashinze

Keywords: Clinical trials; clinical trial registries; clinical data harmonisation; evidence synthesis; individual participant data meta-analysis; causal inference; transportability and generalisability; biomedical natural language processing; artificial intelligence and machine learning; biomedical ontologies and terminology mapping; reproducible research; neonatal and child health.

Research focus: Clinical-trial registry harmonisation and data-quality improvement; Biomedical NLP, machine learning, large language models, and ontology-based terminology mapping; Systematic reviews and meta-analysis using individual participant data and aggregate data; Causal inference, transportability, generalisability, and treatment-effect heterogeneity; Reproducible research pipelines; Evidence generation in neonatal and child health, including therapeutic hypothermia for neonatal hypoxic–ischaemic encephalopathy

CV

Work
10/2025 - present

Data Manager, Clinical Trial Registries and Artificial Intelligence
University Medical Center Rostock, German Centre for Child and Adolescent Health (DZKJ), Rostock, Germany

11/2024 - 11/2026

Evidence Synthesis Ireland Fellow
University of Galway, Ireland, and Unity Health Toronto, Canada
Research on immune-checkpoint-inhibitor dosing within the Knowledge Translation Program and Post-Market Drug Evaluation CoLab Network. 

01/2025 - 09/2025

Junior Researcher, Causal Inference and Machine Learning, Data Science and Biostatistics Department at the Julius Center for Health Sciences and Primary Care, UMC Utrecht, The Netherlands 

06/2022 - 09/2023

Clinician in Charge of Healthcare Saint John Clinic, Bujumbura, Burundi

07/2022 - 03/2023

Part-time Clinician and Research Project Manager , Burundi Red Cross, Burundi

Education

09/2023 - 07/2025

MSc Epidemiology, with distinction
Global Health Institute ,University of Antwerp, Antwerp, Belgium

01/2023 - presentMSc Infectious Diseases and Global Health
Started Moi University, Kenya
01/2015 - 06/2022MSc Epidemiology, with distinction
Global Health Institute ,University of Antwerp, Antwerp, Belgium