Online / 5 & 6 February 2022



Photo of Elisee JAFSIA

JAFSIA is currently the head of department of Electromechanics and Artificial Intelligence at MboaLab Cameroon. He joined the MboaLab team as a researcher to work on reliable, interpretable, and steerable AI projects mainly focused on diseases diagnosis. Before that, he was a Risk analyst for BigMola a P2P lending company where he designed a credit scoring system based on Machine Learning algorithms. His research spans machine learning, AI, and Healthcare. He focuses on 1) Developing the Science of Deep Learning (a principled, scientific understanding of deep learning), and 2) applying Deep Learning to medical diagnosis. He is excited about applications of artificial intelligence and machine learning in medicine and particularly neglected tropical diseases.

He completed his Bachelors and Masters of Science in Physics at the University of Yaounde I and a Bachelor and Masters of Education at the Higher Teacher’s Training College of Yaounde. JAFSIA is an active member of the DIDA network (Digital Diagnostics for smarter healthcare in Africa) and the technical lead of the OpenFlexure Microscope (OFM) project in Cameroon. On top of his research, he works on a number of side projects in Physics and CS.


Title Day Room Track Start End
Improve diagnostics of typhoid through Open Science: An Artificial Intelligence-based technique Saturday D.research Open Research Tools and Technologies 13:45 14:05
Artificial Intelligence Panel Saturday D.research Open Research Tools and Technologies 14:05 14:20