Specifically the ones that get left out — immigrant-led nonprofits, informal organizations, people who don't fit the assumed user. I use qualitative and participatory methods to make AI systems more accountable.
My work tries to close that gap — through participatory design, qualitative fieldwork, and tools that center accountability from the start.
Most AI systems called "assistive" optimize for users who already have access to convenience. I study the ones who don't.
My engineering background means I can engage with AI system design directly — not just describe its effects from the outside.
An AI assistant built with — not for — immigrant-led nonprofits. Accountability by design.
PhD ResearchHow donor platforms and grant databases systematically disadvantage informal immigrant-led organizations.
PublicationsPeer-reviewed work on Care AI, accountable design, and HCI for marginalized communities.