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Excited to join foundry10 as an HCDE Researcher!

Our paper on the future of expertise and the expert data gig economy received the Best Paper Award at CHIWORK 2026.

foundry10 published a story on EcoPrompt, a tool I designed to help students think critically about the environmental impact of AI.

Our design challenge submission won 1st Place at IDC 2026.

🎓 I successfully defended my Ph.D. dissertation in Human Centered Design & Engineering at the University of Washington.

Our paper has been accepted to DIS 2026 on value-oriented AI design.

Excited to co-organize three workshops on AI and children at IDC 2026 and to have two Late Breaking Work papers accepted to the conference.

Two papers accepted to IDC 2026. Looking forward to presenting in Brighton!

Received the OpenAI Mental Health Grant Award ($25,000) to support research on children and emotionally responsive AI systems. (Funding declined.)

Received the HCDE Doctoral Research Grant Award to support our work on Investigating Emerging AI Companions in Children's Play Environments with Meghna Gupta.

Successfully proposed my PhD dissertation and advanced to ABD (All But Dissertation) status.

Excited to co-author a piece in The Conversation with Katie Davis examining how generative AI could widen educational inequities and the critical role teachers play in shaping outcomes.

Honored to receive two Special Recognition for Outstanding Review awards for CHI 2026.

Co-authored a BOLD (Jacobs Foundation) article examining the promises and risks of conversational AI for children’s wellbeing.

Wrote a guest post for the Joan Ganz Cooney Center (Sesame Workshop) on how children can learn from AI mistakes through playful, critical engagement.

Joined foundry10 as a research intern, designing studies on the integration of adaptive learning technologies in K–12 classrooms.

Featured on NPR’s Seattle Now (KUOW), where I discussed AI Puzzlers, a game I designed to help children recognize the limits and reasoning errors of generative AI.

AI Puzzlers was featured in The Seattle Times, highlighting how kids can outperform AI on certain reasoning tasks and what that reveals about AI literacy and learning.

My work on AI Puzzlers was featured in UW News, highlighting how children can outperform generative AI on certain reasoning tasks.

Presented our research at ISLS 2025 on designing an AI classification system for children with the learning sciences community.

Presented our research at CHI 2025 on designing AI tools to support parents in conducting speech therapy.

Joined Instructure (Canvas LMS) as a research intern, working on learning analytics and evidence-based evaluation of educational technologies.

Featured in GeekWire for our AIES research showing that AI language models disproportionately associate teenagers with negative behaviors.