Selected for a 4-week intensive research program applying data science to communication theory, where I studied how media framing of homelessness influences public sentiment on X (Twitter). Analyzed hundreds of thousands of news articles and social media posts using statistical modeling and LLM-assisted sentiment classification, co-authoring a 10-page paper and presenting findings to 100+ students and faculty.