Akwaaßa!
I am a PhD student in Biostatistics at the UNC Gillings School of Global Public Health. My research focuses on developing statistical and machine learning methods for causal inference in complex real-world systems—particularly those involving network interference, high-dimensional covariates, structured missingness, and shifting data-generating mechanisms. I am interested in how we can 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, clinical research, and policy evaluation. I also explore infectious disease modeling to simulate 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
- Missing Data/Imputation Methods
- High Dimensional Data Analysis
- Spatial Epidemiology & Hotspot Detection
- Infectious Disease Modeling