About Me

Sinclaire Schuetze is a Research Fellow at the Stanford RegLab working to optimize the IRS’s process of auditing partnerships through graph machine learning. She received her Master’s in Social Data Science from the University of Oxford, where she began her focus on graph machine learning by using GNNs to identify financial crises within trade networks. She aims to continue her work of improving government processes and public policy with the application of advanced data science and machine learning methods.