Tariq Daouda
Speaker at AMLD Africa 2026 and AMLD Africa 2024
Dr. Tariq Daouda specializes in applications at the intersection of Artificial Intelligence and
Biomedical sciences. He holds a bachelor’s in mathematics and Computer Science from the
Université de Lorraine, a Master’s in Machine Learning from Université de Montréal, and a
PhD in Bioinformatics also from the Université de Montréal. Dr. Daouda then moved to
Boston to pursue postdoctoral training, where he was affiliated to the Broad Institute,
Harvard Medical School, and the Massachusetts General Hospital. He recently joined the
University Mohammed VI Polytechnic to become head of AI for biomedical applications at
the Faculty of Medicine. His research focuses on the development of novel artificial
intelligence methods to improve our understanding of biology and accelerate the
development of clinical applications. Over the years he has worked on the identifications of
markers of cancer and infection at the surface of cells, the integration of different types of
single cell sequencing to create accurate maps of individual cell biology, and the analysis of
viral sequences to identify strains likely to transition between species.
At AMLD Africa
WITS University, Johannesburg, South Africa
See the AMLD Africa 2026 agendaUnited States International University Africa, Nairobi, Kenya
Applying AI to enable Biological discoveries
AI holds much promise for the future of healthcare and biomedical sciences. Perhaps the most striking and most important feature of modern AI technology is how much it differs from biological brains. A modern AI architecture is as distant from the human brain, that plane is from a bird. In this definitive distinction lies the potential for great cognitive and computational complementarity between AI and Researchers. In this presentation I will highlight some examples of how applied AI was used to enable fundamental discoveries in biology.
