Akwaaba!
I am a third-year PhD student in Biostatistics at the UNC Gillings School of Global Public Health. My current research focuses on developing statistical and machine learning methods for causal inference under interference, with applications to infectious disease prevention as motivating examples. I am interested in developing estimators that remain reliable when classical causal assumptions break down and in integrating modern representation learning with causal structure to develop practical methods for public health and policy evaluation.
- Causal Inference
- Semi- and Nonparametric Estimation
- Machine Learning
- Infectious Disease
- Ph.D. in Biostatistics, University of North Carolina at Chapel Hill, 2024-Present
- M.S. in Applied Statistics & Data Science, University of Texas Rio Grande Valley, 2023
- B.S. in Mathematics, University of Mines and Technology, Ghana, 2020