Suleiman Adamu Yakubu

Suleiman is a PhD candidate with a background in computer science, specializing in the economic impacts of mental health due to flooding, using advanced Bayesian methods. His research focuses on quantifying mental health outcomes such as PTSD, depression, and anxiety, that occur as a result of floods and translating these effects into economic costs. Suleiman employs statistical modeling to explore these complex relationships, integrating study-level data from diverse sources.

With a keen interest in statistical modeling and machine learning—especially Bayesian approaches—Suleiman is committed to advancing interdisciplinary research that bridges mental health, economics, and computational science.

When not immersed in research, Suleiman enjoys contributing to professional development initiatives, including skill-building in research methods, technical tools, and networking within the academic community.