Hallowed Olaoluwa

NEF Fellow

Hallowed Olaoluwa

Area of Research:
Mathematical Physics
Harvard University
Einstein Challenge:

Hallowed hopes to provide more answers to questions in quantum ergodicity and quantum chaos and how the answers apply to wider concepts of differentiation, medical imaging and robotics, and an interception.


Hallowed Olaoluwa was born in Bangui, Central African Republic (C.A.R). He started primary education at the age of 5 and excelled in all subjects. His passion for arithmetics, geometry, computations and elementary Sciences caught the attention of his dad, who dedicated his time during the holidays to coach Hallowed in advanced syllabus. Through his father’s encouragement, Hallowed was given a promotion mid-year from Level 5 to Level 6 of primary. That was the beginning of an intellectual adventure of four (4) double promotions.

Hallowed was the youngest to sit the French Baccalaureate (A’levels) in the C.A.R. at age 13. He obtained his Bacc at age 14 with the best result in Mathematics. He pursued Mathematics-Physics (MP) at the University of Bangui. In third year, Hallowed chose to register separately for mathematics and physics and obtained concurrently two BSc degrees in Mathematics and Physics. He was granted the same permission to register separately and concurrently for Masters’ programs in Mathematics and Physics and obtained two Masters’ degrees with Distinction, all at the age of 19. He remains the first and only student to have completed two concurrent degrees in mathematics and physics at the undergraduate and masters level in the Central African Republic.

Afterwards, he travelled to Lagos, Nigeria and enrolled for PhD programme in Mathematics at the University of Lagos in 2011 at age 21. He graduated in a record two years and 10 months as the Best Overall Graduating PhD. Student of the University of Lagos (2013) and the youngest person to be awarded a PhD in Mathematics in Africa.

Hallowed’s PhD research focuses on Functional Analysis, with a focus on Fixed Point Theory which has its applications in optimisation of allocations of resources such as network, power, workforce and Government Budget. Comprehensive optimisation schemes have tremendous impact on transportation network (traffic control, construction of routes to decongest heavy traffic), services offered by hospitals, industrial productivity and national budgets taking into account various economic, financial and social constraints. He is currently a postdoctoral fellow at Harvard University and his research has shifted to the more theoretical study of quantum ergodicity in mathematical physics which ultimately applies to optimisation of various systems in computer science, thermodynamics, optics, etc.