Senior Undergraduate at Wesleyan University studying Government and Computer Science. Research assistant at the Wesleyan Media Project's DeltaLab, focused on computational analysis of political advertising.
Built from scratch with HTML, CSS, and JavaScript. Features a custom animated day/night toggle which defaults to user's device settings. Hosted on GitHub Pages.
Investigates whether online ecosystems are reshaping young American men's cultural attitudes in ways that carry political consequences using the General Social Survey and a targeted poll from the Young Men Research Project, an algorithm audit of Instagram Reels, and an analysis of over 8.5 million livestream chat messages on Kick.
Applied vision-language models to analyze how Trump and Harris were visually framed in each other's campaign advertisements using WMP data. Tuned vision parameters (top-k, temperature) to assess their impact on model behavior.
Wesleyan Media ProjectInvestigated previously unexplored campaign tracking codes from Facebook ads to reveal microtargeting patterns and audience segmentation. Used Python and BigQuery to parse ad metadata via OCR-based text scraping.
Designed and implemented a web-based application using PHP, MySQL, and JavaScript, simulating anonymous match-based interactions and data logging.
Visual research poster analyzing how political ads in the 2024 election cycle strategically targeted Asian American demographics across platforms.
Open to research collaborations, internships, and opportunities for 2026.