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

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

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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.

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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.

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

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Email: hge@princeton.edu

GitHub: https://github.com/haosenge