About Me

I’m a PhD candidate studying human-centered AI at the University of Washington, advised by Ari Pollack and Wanda Pratt, and a visiting researcher at Columbia University’s SEA Lab with Xuhai “Orson” Xu. I build and evaluate AI systems across personal AI agents, human–AI collaboration, and responsible AI. My work has been published at top venues including ACM CHI, AMIA, and Nutrients.

Before my PhD, I earned my master’s at the University of Michigan and worked as a dietitian, research scientist, and AI product lead at health tech companies, including Impossible Foods, Unita Health AI, and Dexcom. I combined my clinical background with AI/ML and user research methods to build and improve products that tackle real-world problems for clinicians and health consumers.

I’m inspired by the late, great Kobe Bryant’s Mamba Mentality — his relentless commitment to inspiring others through his passion and knowledge. Outside of research, I enjoy traveling, basketball, and golf. If my work resonates with you, let’s connect!

Go Blue! Go Dawgs!

🔭 Current Work

Human Trust Calibration towards AI Features

Human-AI Collaboration Responsible AI

I developed an interactive QA system using React that presents users with AI-generated responses augmented by trust-enhancing cues and measures whether those signals promote appropriate trust. Findings will inform design guidelines for trustworthy AI interactions that support appropriate rather than blind trust.

Building Personal AI Agents to Support Patient-Clinician Collaboration

Agentic AI Human-AI Collaboration

Health consumers increasingly use AI tools in isolation from healthcare providers, generating risks of hallucination, erosion of clinician authority, and fragmented decision-making. We are investigating what it takes to construct accurate digital proxies—AI agents that can represent individuals to support human-AI collaboration in this setting.

AI-Assisted Values Elicitation

Human-AI Collaboration Responsible AI

My team developed a React application that uses LLMs to elicit, extract, and visualize individual values from open-ended conversation, mapping them onto a shared representational space. This work explores the capacity of current LLMs to act as value mediators, bridging personal values and goals between humans to support collaborative decisions.

📚 Selected Publications

1. ExTENDS: Empowering Domain Experts to Build Personalized AI Proxies for Asynchronous Patient Care

Agentic AI Human-AI Collaboration

Ray-Yuan Chung, Muying Li, Millie Wu, Ari Pollack, Wanda Pratt, Lena Mamykina, Xuhai "Orson" Xu. In Submission (2026).

2. “It Helped Me Understand, But…”: Examining Trust Calibration in Health AI Among Lay Health Consumers and Patients

Human-AI Collaboration Responsible AI

Ray-Yuan Chung, Athena Ortega, Xuhai "Orson" Xu, Wanda Pratt, Ari Pollack. In Submission (2026).

3. Bridging the Cognitive Gap: Co-Designing and Evaluating a Voice-Enabled Community Chatbot for Older Adults

Generative AI User Experience Research

Feng Chen, Luna Xingyu Li, Ray-Yuan Chung, Wenyu Zeng, Yein Jeon, Yizhou Hu, Oleg Zaslavsky. AMIA (2026).

[paper] [arxiv]

4. Co-designing for the Triad: Design Considerations for Collaborative Decision-Making Technologies in Pediatric Chronic Care

Human-AI Collaboration Health Informatics User Experience Research

Ray-Yuan Chung, Jaime Snyder, Zixuan Xu, Daeun Yoo, Athena Ortega, Wanda Pratt, Aaron Wightman, Ryan Hutson, Cozumel Pruette, Ari Pollack. ACM CHI (2026).

[paper] [doi]

5. Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

Agentic AI Human-AI Collaboration

Ray-Yuan Chung, Xuhai "Orson" Xu, Ari Pollack. Workshop on Human-Agent Collaboration, ACM CHI (2026).

[paper] [arxiv]

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For a complete list of publications, please visit my Publications page or Google Scholar profile.

📸 Photo Gallery