| Software: |
|
| Background: | Derek is a PhD candidate in the Economics department. His work is predominantly in macroeconomics, with a focus on the role of economic networks in facilitating macroeconomic fluctuations. He employs a variety of statistical and computational techniques in his research. Previously, he received a BA in Economics and a BS in Mathematics at Indiana University. |
| Languages: | English |
| Software: |
|
| Background: | Katie is a doctoral candidate in Sociology and Public Policy. Her work lies at the intersection of medical sociology, sociology of gender, and science and technologies studies, with a specific focus on reproductive technologies. She employs both quantitative and qualitative approaches in her work, including in-depth interviews, computational text analysis, and traditional statistical analyses. |
| Languages: | English |
| Software: |
|
| Background: | Rachel is a doctoral candidate in Sociology and Social Policy. Her research explores mechanisms that reproduce American racial and class inequality. She is especially interested in white politics and the contextual, institutional, and intergenerational socialization of racial and political ideologies. She employs qualitative methods, including ethnography, in-depth interviews, and text-analysis of historical material.
|
| Languages: |
English |
| Software: |
|
| Background: | Ren is a Ph.D. student in the Department of Politics. He is interested primarily in American politics and political economy using a broad variety of quantitative and analytical methodology. Before coming to Princeton, he received a B.S. in Mathematics and a B.A. in Political Science from Michigan State University.
|
| Languages: |
English |
| Software: |
|
| Background: | Emre is a PhD candidate in the Department of Politics and also a fellow at the Center for Statistics and Machine Learning. Broadly, his research interests lie in comparative politics of authoritarian institutions, historical legacies, and public opinion with a focus on the Middle East and North Africa. In his research, he employs a variety of quantitative techniques, including causal inference, text-analysis and machine learning.
|
| Languages: |
English, Turkish, German |
| Software: |
|
| Background: | Anthony is a PhD candidate in Politics. He studies American political institutions with a special focus on the US Courts of Appeals. Their research utilizes text analysis, network analysis, machine learning, and traditional statistical methods. Before coming to Princeton, they earned a BA in Mathematics and Political Science at SUNY at Buffalo. |
| Languages: |
English, German |
