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 |
| 11/2024 - 11/2026 | Evidence Synthesis Ireland Fellow |
| 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 |
| 01/2023 - present | MSc Infectious Diseases and Global Health Started Moi University, Kenya |
| 01/2015 - 06/2022 | MSc Epidemiology, with distinction Global Health Institute ,University of Antwerp, Antwerp, Belgium |

