Shawal Kassim

Shawal Kassim is a PhD candidate at the School of Computational and Applied Mathematics and a former consultant at McKinsey & Company. Specializing in the intersection of industry and academia, Shawal's primary focus is building and benchmarking Classical and Quantum models for diverse industrial applications.

In this workshop - Africa's first workshop focused on Financial QML - Shawal will guide participants through the architecture of a fundamental Quantum Machine Learning model. While the session focuses on practical application within financial datasets, the techniques demonstrated are versatile and transferable across various sectors.