Ian Pitman is a Pre-Doctoral Fellow at EPIC, working for Director Michael Greenstone on projects that aim to combat air pollution and overfishing, among other environmental concerns. He earned a bachelor’s in economics and mathematics from the University of Chicago in 2019. In his fourth year at the university, he wrote an honors thesis in which he proposed a data-adaptive method of choosing optimal bandwidths for matching estimators. Ian’s interests include the use of machine learning in econometrics, especially as it relates to environmental and energy policy.
“As a predoctoral fellow, I’ve had the opportunity to work on projects that further our understanding of the health impacts of pollution and the ecological impacts of overfishing. It’s exciting to see the research I’ve contributed to translate into policies that tackle these complex issues.”
