Peter is a recent master of public affairs graduate from Princeton, where he also completed a graduate certificate in statistics and machine learning. His research focuses on integrating methods from sociology, philosophy, economics, and computer science to build robust models of the societal impacts of technological change. He also brings multiple years of work experience as a civic technologist, most recently at the US Census Bureau as a Coding it Forward Data Science Fellow, and prior to that, as a data analyst with the Massachusetts Digital Service. He received a BA from Williams College in 2020, where he studied political economy, philosophy, and cognitive science. Outside of work, he is an avid runner and cyclist and loves spending long days in the mountains.