Dr. Michael Akinwumi

Director, Risk Science and Analytics, Trust Science

Dr. Michael Akinwumi leads the AI/ML governance engineering efforts at Trust Science where he works with engineers and the business folks to ensure that their AI-powered credit solutions for subprime borrowers are fair, transparent, explainable, accountable, and of high quality. He has given talks and written blog articles on the roles of protected attributes in credit scoring and the steps to avoiding inequitable credit solutions.

Previously, Michael worked on a recommendation engine that a Canadian bank used to anticipate the needs of their customers, prioritise the offers based on expected customer satisfaction and customer equity, while improving the average lifetime value of the customers. One of the offers he developed for the banks was projected to save the company about 2 million annually. The recommender system served 20,000 users on average each week, about seven-fold increase in usage relative to data prior to taking on this responsibility. 

He pioneered the use of machine learning models at a Canadian Insurance company where he worked closely with a diverse team of actuaries, business analysts, applications developers, and business executives. He developed underwriting models, pricing models, and marketing models that improved the business outcomes and earned him the respect of the company’s VP of Underwriting who said “… You are a tremendous person that has made a lasting impact on this organization. I truly hope … that we can stay in touch.” 

Michael is the first born in his family with four sisters. He grew up in an environment that de-emphasizes girl child education. Raised with parents who had no high school education, he determined to demonstrate to his siblings that success is neither in one’s background nor in the school but rather in the mind. This determination with his childhood experience shaped his beliefs and values. He now uses his professional works and mathematical sciences skills to live for others, especially the underprivileged.

He has a PhD in Applied Mathematics from the University of Alberta, Canada, a MSc, Mathematical Modeling and Scientific Computing from the University of Kaiserslautern, Germany, and Dipl. Ing (MSc equivalent) in Industrial Mathematics from Johannes Kepler University, Linz, Austria. His undergraduate was in Mathematical Sciences with minors in Statistics and Computer Science and major in Mathematics from Federal University of Agriculture Abeokuta, Nigeria. He reviews the mathematics, statistics and computations in research articles at the intersection of socioeconomy, politics and security.