Jonathan Hennessy is Senior Research Manager at Stanford's Regulation, Evaluation, and Governance Lab (RegLab), where he works to use AI to help modernize the system for tax collection. This stream of RegLab's research is focused on developing new active learning methods to overhaul the risk prediction system with advances in machine learning and data science, designing explainable and trustworthy AI methods that put these risk estimates into practice, and evaluating the effectiveness of the system.