Akwaaba!
I am a PhD student in Applied Statistics with research interests in Bayesian methods, survival analysis, causal inference, and machine learning. My work is especially focused on developing and applying Bayesian methods for complex and sparse data, including longitudinal and time-to-event outcomes, uncertainty quantification, and statistical inference.
I am interested in applying advanced statistical methods to problems in (bio)statistics, pharmaceutical research, healthcare, quantitative analysis, and other data-intensive fields.
Alongside my doctoral studies, I work as a Statistical Consultant, supporting researchers with study design, data analysis, statistical modeling, interpretation, and reporting. I have experience using R, SAS, Python, and SPSS across a variety of applied research problems.
Outside of academics and research, I enjoy watching movies.
- PhD in Applied Statistics | University of Northern Colorado, Present
- MS in Applied Statistics & Data Science | University of Texas Rio Grande Valley, 2024
- BSc in Actuarial Science | University of Cape Coast, Ghana, 2021
- Bayesian Methods
- Survival Analysis
- Causal Inference
- Machine Learning