Eniola's independent multi-domain research in computational neuroscience, protein ML, and dynamical systems aligns with the fellowship's focus on technology in the public interest. His work on addiction models and open-source tools, combined with his LMIC background and enrollment in a digital health MSc, makes him a strong candidate for this global early-career fellowship.