Multidisciplinary team responsible for day-to-day implementation, technical excellence, and delivery of CEpiNet's analytical products and capacity building activities.
Université du Burundi / Niyukuri Lab
David leads CEpiNet's applied epidemic modelling work, including the design and implementation of mathematical and statistical models for nowcasting, short-term forecasting, and intervention scenario analysis. He oversees modelling internships and practical training at Niyukuri Lab, ensuring reproducible workflows, transparent assumptions, and decision-oriented outputs.
INOHA / UNIKIN
Dev leads CEpiNet's geospatial intelligence, translating surveillance and contextual data into operational risk maps and decision dashboards. He supports hotspot identification, micro-targeting of interventions, accessibility analysis, and spatial prioritization to inform resource allocation during outbreaks.
INRB
Placide leads CEpiNet's epidemiological and genomic data integration. He supports the governance and quality of surveillance and laboratory datasets and, where applicable, the integration of genomic information and metadata to strengthen outbreak interpretation and response. He also contributes to translating analytical results into actionable public health insights.
UNIKIN
Tania is a researcher leading Antimicrobial Resistance (AMR) efforts in the Democratic Republic of Congo (DRC). She is passionate about understanding the molecular mechanisms behind antimicrobial resistance and developing strategies to curb its spread. Her work contributes to strengthening laboratory research, surveillance, and evidence-based interventions to combat AMR.
