Lillian Petersen is a high school student who analyzes large data sets to answer socially relevant questions. She has created an early warning system to predict crop yields in every African country, applied machine learning techniques to predict the prevalence of acute malnutrition, and analyzed the supply chain efficiency of specialized nutritious food distribution. She has given talks at IFPRI, USAID, USDA, GEOGLAM, FEWS NET, and the 2018 and 2019 CGIAR Conventions on Big Data in Agriculture.

You can find her work at: