About
I am an Economics predoctoral research fellow at Harvard University with Prof. Melissa Dell, working on deep learning methods and its application in economic history and political economy.
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 growth, and deep learning.
- Macroeconomics
- Economic Growth
- Deep Learning
BA in Economics, 2023
University of California, Berkeley
BA in Computer Science, 2023
University of California, Berkeley
Experience
· Develop deep learning pipelines to classify and analyze unstructured text and image datasets · Apply models to extract accusations and fact-checking practices from historical news articles, identifying geographic and temporal patterns in media circulation and sensationalism during the McCarthy era · Cluster and analyze historical newspaper images to study public reactions to key events (e.g., the Vietnam War) by comparing visual narratives across wire services · Build and manage technical infrastructure, including scrapers for newspaper archives and Azure pipelines for full-edition newspaper digitization, and fine-tuned NLP models to improve various topic classification
· (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
and Data 88E: Economic Models
· Develop and update course content (including textbook, lecture and lab notebooks)
· Give lectures; hold discussion sections and office hours; manage class logistics (websites, discussion forums, etc.)
· Coordinate peer tutors in the cluster and connect with the professor and offer students’ feedback
· Hold exam review sessions and special workshops (academic and career)
Papers
Statistical Skills
Expert
Expert
Proficient
Proficient
Intermediate
Intermediate