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. Marginalized Identity and Decolonial Computing Investigating how online platforms support marginalized communities in decolonizing identities by challenging colonial norms, values, and histories through collaborative storytelling. 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. High-Stakes Public AI and Institutional Accountability Auditing public-sector AI systems to identify asymmetries in accountability, ensuring institutional transparency aligns with the lived experiences of those subject to algorithmic decisions. 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
