Samuel is a research staff member with the AI for science team at the IBM Research Lab - Africa, Nairobi where he currently focusses on detection of predictive bias in classification algorithms for data subgroups in finance. He also has research interest in the generation of synthetic financial data. Prior to the current role, he has worked with the IBM financial services team on the application of mathematical modeling to diverse problems within the financial industry, water security, as well as on the applications of quantum computing in finance.
Samuel received a PhD in Mathematical Finance from the University of Technology, Sydney Australia in 2011 for his thesis on Credit Risk modeling. He has extensive experience in financial & energy derivatives from his previous role as a quantitative analyst.