I am a third year political science PhD student at UCSD, specializing in political economy, quantitative methods, financial modeling, and text analysis. I love working with data and solving complex problems with innovative approaches. For my dissertation, I am working on how political risk and uncertainty shape corporate political strategies and financial markets.
- The intersection between politics and finance
- Machine learning
- Text analysis
- Financial time-series inference and prediction
- Data availability and distribution
- WeChat Scraping: An semi-automated scraper for collecting official account posts from WeChat
- Expected Returns: An R package for conducting financial time-series analyses and forecasting
- Programming: Python, R
- Data Science: PyTorch, NLP, embedding, spatial models
- PhD in Political Science, UC San Diego
- M.S. in Computer Science and Engineering, UC San Diego
- Contributor to Expected Returns
- CongressLib: A Python client library for interacting with the Congress.gov API. More analysis features are coming. Package available on PyPI under CongressLib
- Email: zih028@ucsd.edu
- When I'm not coding, you can find me crafting ceramics or planning my next travel adventure!