Chesley Chan ’21 received her A.B. in Public Policy at the Woodrow Wilson School of Public and International Affairs and a certificate in Statistics and Machine Learning. She is interested in computational social science, specifically the integration of human rights, policy, and data science. Chesley worked as a data science intern for the Education Project under Yongai Jin, using R Studio to statistically analyze 9 waves of NPSAS data conducted by the NCES to investigate how racial differences impact parental investment in their children's post-secondary education. Under the direction of Junming Huang, Chesley helped to build the dataset used for the China Impact Project by assessing, classifying, and manually “scoring” American perceptions of China found within more than 1000+ newspaper articles spanning the last five decades.