Jade graduated magna cum laude from Columbia University and Sciences Po Paris where she obtained two BA’s in Political Science and the Social Sciences. She is particularly interested in the intersection between politics and data science, fiercely advocating for the power of data to promote good governance and government accountability. At NYCSDA, Jade devotes her capstone project to examining and predicting the US 2016 and 2018 electoral outcomes, weaving together her expertise in unsupervised and supervised machine learning and her passion for story telling. Jade has grown up in 3 continents and is now also fluent in Python and R.
