Akwaaßa!
I am a PhD student in Biostatistics at the UNC Gillings School of Global Public Health. I am interested in developing statistical and machine learning methods for causal inference in complex real-world systems, particularly those involving network interference, structured missingness, and shifting data-generating mechanisms. My interests include understanding how to design estimators that remain reliable when classical assumptions break down, and how to integrate modern representation learning, invariance ideas, and causal structure into practical tools for public health and policy evaluation. I also explore infectious disease modeling to simulate disease spread and assess control strategies.
- PhD in Biostatistics | University of North Carolina at Chapel Hill, 2024 - Present
- MS in Applied Statistics & Data Science | University of Texas Rio Grande Valley, 2023
- BS in Mathematics | University of Mines and Technology, Ghana, 2020
- Causal Inference
- Infectious Disease
- Machine Learning
- Missing Data/Imputation Methods