Data scientist and Health Data Science master's student at Harvard University with expertise in Machine Learning and generalized linear Models (R, STATA, Python). Specializes in social epidemiology and implementation science to enhance HIV/STI prevention and treatment outcomes for adolescents and young adults. Conducted research on the socioeconomic impacts of COVID-19 on vulnerable populations in Ghana, focusing on HIV, TB, and malaria services. Also studied the effect of COVID-19 on neonates and pregnant women's knowledge, attitude, and practice towards COVID-19 vaccines. Trainee of the Working on Applications for Data Science and Health in Africa program.
“For my safety and wellbeing, I always travel to seek health care in a distant facility”—the role of place and stigma in HIV testing decisions among GBMSM–BSGH 002, Health & Place, 2023, https://doi.org/10.1016/j.healthplace.2023.103076
Exploring Knowledge, Attitudes of Practices Related to COVID-19 Vaccine Decision-Making Among Pregnant People in Ghana, Data Analyst, World Health Organization, 2023, 2024 Mapping, Population Size Estimation (MPSE) and Bio Behavioral Survey among Men Who have Sex with Men in Ghana (The Men Study III), Data Analyst, Global Fund, 2022, 2024 Creating a Favorable Environment and Stakeholder Buy-in for Food-Related for Related Fiscal Policies in Ghana (The SSB Tax Advocacy Project), Research Associate, Global Health Advocacy Incubator (GHAI), 2022, 2024 A prospective cohort study investigating maternal, pregnancy and neonatal outcomes for women and neonates infected with SARS-CoV-2 in Ghana: Adaptation of World Health Protocol, Research Assistant, World Health Organization Multi-Level Intervention Addressing Intersectional Stigma to Improve HIV Testing in MSM [Men Who Have Sex with Men], Research Assistant, National Institutes of Health (NIH), 2020, 2023