Daniel Ojeranti is a Senior Research Scientist currently pursuing a master's degree in Biostatistics at Columbia University Mailman School of Public Health. Their research focuses on utilizing Google Trends data to predict public health impacts in the U.S. and aims to promote geospatial surveillance methods for skin bleaching. Previously, Daniel served as an Associate Research Scientist at TriNetX and held roles at various institutions, including as a Research Assistant/Data Analyst at Icahn School of Medicine and a Research and Teaching Assistant at Winston-Salem State University. Additionally, Daniel is studying Mathematics and Statistics at Winston-Salem State University.
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