Ezinne Nwankwo (she/her) is a postdoctoral researcher at Stanford University and the Gladstone Institute, hosted by Barbara Engelhardt and Dan Ho. She studies the design, evaluation, and deployment of automated decision systems for public sector setting, such as homelessness services, healthcare and child welfare. Much of her work uses causal inference to evaluate the impact of interventions where operational constraints and data validity problems complicate decision-making. In 2026, she received her PhD in Computer Science from UC Berkeley, where she was very fortunate to be advised by Michael I. Jordan and Amanda Coston. Her PhD was supported by a Ford Foundation Fellowship, a UC Berkeley Mentored Research Fellowship, and the UC Berkeley AI Policy Hub. She received her master’s degree in Statistics from Duke and her bachelor’s degree in Applied Math from Harvard University.