I am an Economics predoctoral research fellow at Harvard University with Prof. Melissa Dell, working on deep learning methods and its application in political economy and economic history.
I have a Bachelor’s degree in Economics and Computer Science at University of California, Berkeley. I served as research assistants for multiple professors and Ph.D. students at UC Berkeley, and worked on a wide variety of economic research projects and CS/DS projects.
My research interests include macroeconomics, economic development, and deep learning.
BA in Economics, 2023
University of California, Berkeley
BA in Computer Science, 2023
University of California, Berkeley
· (Fall 2022 – Spring 2023) Assisting Prof. Ulrike Malmendier on “Politician Voting”: Assemble datasets from CRSP, stockwatcher, and other sources; perform analysis on how politicians’ life experience affect their voting decisions and investment decisions
· (Fall 2022) Assisting Prof. Robert Edelstein on “Globalization and Climate Change”: Assemble warm-house gases and sustainable technology datasets; examine causal relationship with natural experiments
· (Fall 2021 – Spring 2022) Assisting Oliver Kim (PhD) and Joel Ferguson (PhD) on “Satellite Imagery and Historical East Asian Economic Growth”: Apply machine learning methods and train satellite data to predict Chinese economic growth status during 1950-1960s; gather gazetteer data and fetch geographical information used in training
· (Fall 2020 – Spring 2021) Assisting Jimmy Narang (PhD) on “Misinformation and Belief Updating”: Help with logistic and design of experiment model used in the research; gather empirical observations and perform preliminary analyses
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Expert
Proficient
Proficient
Intermediate
Intermediate