As a doctoral candidate, supervised by Jennifer Horney, I have extensive research experience in observational data biases and public health, I am starting to search for careers that help foster my curiosity. My proposed dissertation, “Common biases in studying the long-term health effects of disasters: challenges & potential solutions,” focuses on identifying the factors that lead to bias in longitudinal disaster epidemiology research. I have previously worked in SAS, Python, and R programming languages and have experience generating evidence-based decision support tools for the continuity of business operations during the COVID-19 pandemic.

In 2020, I earned my MPH from Columbia University, where I was mentored by Pam Factor-Litvak. I also hold an undergraduate degree in biomedical engineering from Rensselaer Polytechnic Institute.

In summer 2019, during my studies, I consulted at the Ghana Health Service, serving in Gushegu, Northern District. There I conducted an analysis of referral logs and proposed sustainable improvements aimed at increasing the health directorate’s data capture ability, allowing for future evidence-based interventions.