Research + Analytics
I’m interested in research that turns complex or unstructured information into something useful for decision-making. Across academic, legal, and technology-focused work, I’ve used qualitative research, structured data analysis, and AI-assisted workflows to identify patterns, organize findings, and communicate them clearly.
Below are selected experiences that reflect how I approach research: understanding the question first, working carefully with the available evidence, and translating analysis into usable insights.
UC Berkeley Law
Undergraduate Research Assistant-Paper Prisons | Data Analysis + Technology
Support access-to-justice and technology projects through SQL, Excel, and AI-assisted research workflows. I analyze research and program data, synthesize findings into presentations for faculty and county stakeholders, and evaluate digital processes including websites, authentication, notifications, and early-stage experimentation.
SQL · Excel · Data synthesis · Presentations · Digital workflow analysis
UC Berkeley Haas Research
Research Assistant | Generative AI + Collaboration
Supported PhD research on generative AI adoption by reviewing 50+ GitHub repositories and associated Discord communities. I compared pre/post-AI collaboration and feedback patterns and used AI-assisted classification prompts with manual validation to structure findings for ongoing research.
50+ repositories · AI-assisted classification · Manual validation · Collaboration research
One Fair Wage
Legal & Policy Intern | Policy Research + Campaign Support
Conducted legal and public-source research to support policy and campaign work, including case-law research and a memo examining Alameda County ballot-placement issues. I also supported voter outreach, signature review, and records verification.
Legal research · Public records · Memo writing · Campaign operations
