Responsible AI Research Scientist

I am a third-year Ph.D. student and GEM Fellow in the Department of Human-Centered Design and Engineering at the University of Washington, specializing in Human-Computer Interaction with a focus on AI fairness. I am a member of the Tactile and Tactical (TAT) Design Lab, under the guidance of Dr. Daniela Rosner, and the Wildlab, where I am also advised by Dr. Katharina Reinecke. My work across these labs focuses on exploring design, technology, and social impact through interdisciplinary research.

I am deeply invested in promoting responsible AI/ML systems that prioritize fairness, inclusivity, and equity. My research investigates the sociotechnical implications of race and culture especially in how intelligent systems and automated language technologies interact with underrepresented communities. Leveraging inclusive design and justice-driven frameworks, I aim to enhance user experiences with a particular emphasis on Black American communities.

View my resume here!

Research Interests

  • Sociotechnical Implications of AI Technology
  • Human-Computer Interaction
  • Responsible AI
  • Inclusive Design
  • Data-Driven Solutions to Mitigate Racial Biases

Ongoing Research Projects

AI and Diasporic Urban Farming

Diasporic urban farming communities cultivate not only food but also ecological sustainability, ancestral knowledge, and pathways for social and political transformation for Black, Indigenous, and marginalized groups. These collectives operate within resource-limited environments, relying on labor-intensive practices like soil health monitoring, risk management, and crop harvesting.

Our research investigates the intersection of AI technologies and diasporic farming infrastructures—a critical yet underexplored site in U.S. technological, economic, and agrarian systems. We seek to understand how AI farming technologies engage with or overlook the expertise of minoritarian farmers and whether industry-driven smart agricultural solutions align with the values and practices of minoritarian farming communities.

This research aims to bridge the gap between emerging AI farming solutions and the lived realities of diasporic agricultural communities, ensuring technological advancements respect, integrate, and uplift minoritized knowledge systems.

Collaborators: Dr. Daniela Rosner, Amelia Lee Dogan