Keanu Renne-Glover, MPH - PHI / CDC

Keanu Renne-Glover, MPH, is a Data Scientist, Biostatistician, and current PHI/CDC Global Health Fellow in the Global Surveillance Track in the Division of Global Health Protection with CDC Cameroon in Yaoundé, Cameroon. He has three years’ experience working as a public health professional with varied expertise in quantitative and qualitative data analysis in government, philanthropic organizations, and academic institutions. Early in his academic career, Keanu started as a research fellow with Continuing Umbrella of Research Experience Program, where he used REDCap to organize and document sensitive participant data in relational databases. During this experience, he completed literature reviews on the correlation between access to healthcare screening and HPV survivorship among HIV positive women in Swaziland and South Africa. He later served as a research fellow in ICAP Cameroon and was successful in ensuring proper and accurate documentation of all site PDSA cycle data. Additionally, he worked with the Cameroonian Ministry of Health to identify health center staff goals and possible intervention ideas to facilitate inter-facility communication. These strategies were used to strengthen the sites’ service delivery capabilities to HIV-exposed infants through policy change which resulted in a more consistent and timely screening of participants. Most recently, Keanu was contracted to the New York City Department of Health where he was responsible for providing research and operational support for the syndromic surveillance system during New York City’s COVID-19 response. He is a recent graduate of the DS4A Data Science Fellowship by CorrelationOne and speaks fluent French. Keanu is an avid and passionate learner interested in reducing health disparities among marginalized and under-served populations globally. He received his MPH Biostatistics and Epidemiology from CUNY Graduate School of Public Health and Health Policy.