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  • Busisiwe Mlotshwa

    Ms Busisiwe Mlotshwa - Participant


    Utilizing Data Science to Predict and Improve Health Outcomes in Pediatric HIV (Co-Investigator)

    Busisiwe Mlotshwa is a bioinformatician specializing in HIV and TB research, with a focus on applying machine learning and genomics to advance understanding of infectious diseases. She began her academic journey at the University of Botswana and has held key roles within the Botswana Harvard AIDS Institute Partnership, where her work focused on HIV-1C pathogenicity and antiretroviral therapy outcomes. She was awarded the Shell Centenary Scholarship to pursue an MSc in Quantitative Genetics and Genome Analysis at the University of Edinburgh, where she investigated the relationships between genetics, cognition, and BMI. She later served as Laboratory Manager at the HIV Pathogenesis Programme, expanding her experience to include research coordination and laboratory leadership. Busisiwe went on to receive a PhD fellowship through the Collaborative African Genomics Network (CAfGEN), which included advanced training in bioinformatics and genomics at Baylor College of Medicine. Her doctoral research focuses on paediatric tuberculosis in sub-Saharan Africa, integrating computational and genomic approaches. She is also a co-investigator on the DSpace project under the DS-I Africa initiative. Her work sits at the intersection of bioinformatics, infectious disease, and global health, contributing to data-driven insights in HIV and TB research.