Mwelwa Chasaya is a Molecular Scientist, Bioinformatician, Public Health Researcher and laboratory quality assurance specialist with over Nine years of experience spanning molecular diagnostics, genomics, computational biology and global health. She is a graduate of Canning College and Murdoch University in Australia, where she completed a Bachelor of Science in Biomedical Science. As a British Chevening Scholar, she earned a Master of Science in Medical Genetics and Genomics from Oxford Brookes University, graduating with Distinction.
Her work sits at the intersection of laboratory science, genomics and bioinformatics, combining hands-on molecular research with computational modelling to turn health data into insight. She has coordinated Boston University research projects in Zambia and worked closely with key national institutions, including the Ministry of Health, the Zambia National Public Health Institute, and the Africa CDC. Across these roles her focus has spanned global health and mortality surveillance, from laboratory diagnostics through to public health policy.
Mwelwa Chasaya has mentored numerous public health laboratories in quality assurance through continuous quality improvement programmes and external quality assessments, strengthening the reliability of diagnostic systems across the country. Mwelwa's published research ranges from malaria and maternal mortality surveillance to HIV treatment-adherence interventions and the genomic characterisation of pathogens causing childhood respiratory deaths in Zambia . She bridges population-level public health with molecular and computational analysis, and grounded in a conviction that reliable science, and the systems that deliver it, save lives.
That conviction is the thread through all of her work. Having seen firsthand what it means when dependable diagnostics and medicines reach people, and what it costs when they do not — she is committed to building the scientific and computational foundations that make health systems more accurate, more equitable and more resilient, particularly in resource-limited settings.
