Sinclaire Schuetze is a Research Fellow at the RegLab. She graduated from Wellesley College with a B.A. in Data Science and Economics and from the University of Oxford with an M.S. in Social Data Science. Her prior research at Oxford focused on the use of graph machine learning for the identification of economic crises through the use of international trade networks. Sinclaire’s related work with trade networks was accepted to Northeastern University’s Networks and Time conference. Outside of work, she enjoys going to concerts, reading, and exploring new cities.