With a large grant for a three-year project starting from June 2023, I am spearheading a groundbreaking initiative in collaboration with the Rwanda Biomedical Center to address the pressing issue of malaria in Africa. With a focus on developing a digital malaria detection interface, the project employs machine-learning classification methods on microscopic images of blood smears to detect malaria parasites and mixed infections. The goal is to create a flexible and scalable system accessible in diverse healthcare settings, from urban centers to remote villages. I aim to establish a public malaria data repository, fostering advancements in research, treatment, and communication. Beyond Rwanda, I envision extending the impact across African countries and diseases, with the potential to recommend treatments and predict future infections.
Research areas
Data Science in Healthcare (Health informatics, Medical imaging, Machine learning)
Eligible researchers
Master's students, Post-master's students