I am a Ph.D. candidate in Politics at Princeton University.

My research includes quantitative methods, international political economy, and Chinese political economy.

I have been focusing on improving and expanding social scientists' tookit to conduct text analyses. My collaborators and I propose Transformer Encoder for Social Science (TESS), a pretrained deep neural network encoder that shows superior performance on social science text processing tasks.

My current research also seeks to understand how foreign firms leverage political dynamics in host countries to influence policy outcomes. My dissertation re-examines the relationship between asset mobility and government treatment. I put forward an alternative view that emphasizes how low asset mobility helps foreign firms gain government support.

Before coming to Princeton, I obtained an M.A. in political science from Duke University and a B.A. from Fudan University, China. 

Email: hge@princeton.edu

GitHub: https://github.com/haosenge