I'm a Ph.D. candidate in the Language and Learning Analytics Lab at UC Irvine, advised by Dr. Nia Nixon. I study how humans and intelligent systems learn, collaborate, and make sense of complex problems together—bringing together AI, cognitive science, and human–computer interaction.
Research Focus
Human–AI Alignment in Teams
How AI teammates align with human intentions through persona design, behavioral tuning, and adaptive proactivity. TRAIL agents vary in persona traits, behavioral parameters, and proactivity settings—advancing a framework of socio-cognitive alignment.
Cognitive and Social Dynamics
Using temporal, linguistic, and behavioral modeling to analyze how reasoning and shared understanding unfold in human and human–AI teams.
HCI for AI Systems
Designing interfaces that make AI collaboration visible—dashboards for interaction memory, reflection prompts, and adaptive feedback loops.
Model Welfare and Reflective AI
How AI systems reason about their own limitations, uncertainty, and ethical alignment during long-term collaboration.
Selected Publications
- Minds and Machines Unite: Deciphering Team Social and Cognitive Dynamics with AI LAK'24
- The AI Collaborator: Bridging Human–AI Interaction in Educational and Professional Settings arXiv 2024
- Read the Room or Lead the Room: Understanding Socio-Cognitive Dynamics in Human-AI Teaming arXiv 2025
- Balancing the Scales: Using GPT-4 for Robust Data Augmentation LAK'25
- Multi-Agent Framework for Math Problem Generation EDM'25