research AI Fairness, Algorithmic Bias, and Ethics Conducting large-scale algorithmic audits to uncover systemic identity-based biases in AI systems, revealing how those perpetuate sociocultural hierarchies, stereotypes, and prejudices. AI Accountability in Public Institutions Investigating how governments design, document, and govern AI systems, with a focus on transparency, human discretion, accountability, and contestability in public-sector decision-making. Identity and Platform Governance Examining how digital platforms shape identity, language, belonging, and participation among historically marginalized communities through decolonial and sociotechnical perspectives. Immigrants and Transnational Computing Practices Exploring how immigrants leverage digital technologies to exercise political agency, maintain cultural ties, and resist systemic exclusion across transnational borders. Platform Governance and Online Safety Developing pluralistic governance frameworks and technical tools, centering hermeneutic and restorative justice for the online safety concerns of minority and vulnerable populations. Multimodal Affective and Social Interaction Building machine learning models to detect contextual human communication while examining how users manage digital personas and seek information through interactive social platforms. teaching personal
