Eniola should frame his CCT model as a novel computational pharmacology framework to address addiction—a growing mental health burden in Africa—using open-source, low-cost in silico methods that bypass expensive wet-lab infrastructure. His independent track record, pre-registered confirmatory results, and endorsements from leading neuroscientists (Berridge, Gershman, Daw) demonstrate exceptional research maturity for a pre-PhD candidate, but he must strongly emphasize how the fellowship will enable him to transition to a formal PhD or postdoctoral position at an African institution (e.g., University of Ibadan or a partner lab) and build local capacity in computational neuroscience.

Eniola is currently enrolled in an M.Sc. in Germany and is not yet a PhD holder, which may fall outside AREF's typical early-career definition (usually post-PhD). He is an independent researcher without a formal African host institution—AREF requires an employing organization in Africa. His research focus on computational neuroscience and addiction may be seen as less directly tied to Africa's infectious disease priorities, though mental health is increasingly recognized. He must secure a host institution in Africa and clearly articulate the African health relevance of his work.