ABOUT
Reinpeter Ondeyo Momanyi
Reinpeter is a Data Scientist within the Data Science Programs (DSP) Theme. He supports data-related projects that work on the harmonization and standardization of data sets locally and internationally generated from multiple institutional partners. Reinpeter is leveraging novel data science tools to analyze unconventional data, such as grocery purchase records, to predict the health outcomes from the consumption of unhealthy food in Kenya.