Yiyang Chen

Yiyang Chen

Predoctoral Research Fellow

Harvard University


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.

Senior Honor Thesis

  • Macroeconomics
  • Development Economics
  • Deep Learning
  • BA in Economics, 2023

    University of California, Berkeley

  • BA in Computer Science, 2023

    University of California, Berkeley


Harvard University
Research Fellow
Harvard University
Jul 2023 – Present Massachusetts
· Assist Professor Melissa Dell with research related to economic history and political economy, developing deep learning methods to extract and analyze novel datasets
· Developed deep learning pipeline to deduplicate and cluster newspaper scan images
· Supervised training and evaluation of topic classifiers on newspaper texts; created a pipeline to incorporate GPT
University of California, Berkeley
Research Assistant
University of California, Berkeley
Sep 2020 – Jun 2023 California

· (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

University of California, Berkeley
Teaching Assistant
University of California, Berkeley
Sep 2021 – Jun 2023 California
· Work as teaching assistant for Econ 148: Data Science for Economists
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.)
UC Berkeley Student Learning Center Economics Program
Peer Tutor and Course Liaison
UC Berkeley Student Learning Center Economics Program
Jan 2021 – Dec 2021 California
· Provide drop-in tutoring service to students in Econ 136: Financial Economics class
· 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)

Statistical Skills



Jupyter Notebook