Team directory: D

Team directory: D

Ana De La O

Ana De La O, Associate Professor of Political Science

Ana L. De La O, Assistant Professor of Political Science, is  also affiliated with the MacMillan Center for International and Area Studies  and the Institution of Social and Policy Studies. She earned her Ph.D. from the  Massachusetts Institute of Technology. Her research interests include causes  and consequences of redistribution, politics of public goods provision, effects  of anti-poverty programs on the political behavior of recipients in developing  countries and the use of field experimental research methods.

Alessandro Del Ponte photo

Alessandro Del Ponte, Postdoctoral Associate

Alessandro Del Ponte is a Postdoctoral Associate at the Center for the Study of American Politics in the Institution for Social and Policy Studies. His work lies at the intersection of behavioral political economy and political psychology, with a focus on cooperation, morality, and group identity. His research explores the question: How do citizens and governments respond to global crises?

ISPS graduate policy fellow 2022

Wisteria Deng,

Wisteria Deng [she/her] is a PhD student in the clinical psychology program, where she studies emotional and cognitive factors underlying mental health risk and resilience. As an ISPS fellow, she will investigate how emotion regulation strategies may help improve belief flexibility and inform public health policy in a pandemic era. 

Ajua Duker, Policy Graduate Fellow

Ajua Duker,

Ajua Duker (BSc, MS, MPhil) is a PhD Candidate in Social Psychology at Yale University whose research expertise focuses on how the psychology of emotions and emotion regulation can be used to improve the cognitive, emotional, and behavioral health outcomes of members of marginalized communities (e.g., racial minorities, sexual minorities, women). She particularly focuses on understanding and testing the efficacy of these strategies in the context of contending with discrimination. Additionally, she studies human perceptions of discrimination perpetrated by algorithms.