The Kahneman-Treisman Center for Behavioral Science & Public Policy and Princeton’s School of Public and International Affairs are pleased to announce the recipients of two fellowships for graduate work in applied behavioral science.  The 2023-24 recipient of the Hamid Biglari *87 Behavioral Science Fellowship is Sana Khan.  The recipient of the G. Mason Morfit ’97 Fellowship for the 2023-24 academic year is Yoonseo Zoh.

Khan and Zoh were selected by the Center’s fellowship committee from a pool of students nominated by members of the faculty across a number of departments and based on the strength of their academic progress thus far and the anticipated trajectory of their future research. Each fellowship provides financial assistance to students in any discipline who are pursuing study in the area of behavioral science and public policy.

Khan is a fourth-year Ph.D. candidate in psychology and social policy. Her research focuses on perspective-taking, prejudice reduction, and judgment and decision making in contexts of poverty. In one line of research, she and her collaborators examine the role of mentoring relationships and perspective sharing in improving social, psychological and economic outcomes for refugee and host youth in Kenya. Another line of research examines the relative importance of narrative and a non-judgmental exchange for reducing exclusionary attitudes towards refugees. Khan has more than a decade of experience undertaking research in development and humanitarian contexts. She has worked at Innovations for Poverty Action, The World Bank, and the International Rescue Committee. She holds a Master’s degree in international relations, with a concentration in international development and economics, from the Johns Hopkins School of Advanced International Studies and a Bachelors in economics and psychology from Trinity College.

Zoh is also a fourth-year Ph.D. student in psychology. Her research focuses on examining the interplay between human cognitive processes and moral intuitions, with the goal of understanding how individuals think and make decisions regarding issues of justice and morality. To achieve this, she employs an interdisciplinary approach, leveraging computational models, behavioral economics, and neuroscience. In one line of research, she decomposed the cognitive subcomponents of deontological and utilitarian moral preferences with behavioral and neural data. Another line of work investigates how people make decisions concerning distributive justice, taking into account factors such as productivity and luck, and explores interventions to address the neglect of structural inequality in those decisions. Prior to coming to Princeton, Zoh earned a B.A. in education and psychology at Seoul National University in Korea and Master’s degrees in psychology at Yale University.