About
I am a researcher and systems builder exploring human-AI interaction, reasoning support and cognitive engagement.
My work focuses on how AI systems influence the way people think and solve problems, with emphasis on interaction design, structured reasoning and adaptive feedback. Through experimental systems and small-scale studies, I investigate how AI can support deeper understanding without reducing independent thinking.
My research sits at the intersection of human-centered AI, cognitive interaction design and learning sciences.
Research Focus
Current Directions
- Human-AI reasoning support. Designing interactive reasoning systems that preserve productive cognitive challenge.
- Cognitive interaction design. Studying how prompt structure, feedback timing and interaction flow shape reasoning.
- AI-mediated cognition. Investigating misconception, reflection, adaptation and overreliance in AI-supported problem solving.
Current focus
Active Research Systems
- Circuit Quest, an interactive reasoning system for electric circuits.
- Studying how AI-mediated guidance influences conceptual explanation quality.
- Detecting misconception and cognitive drift from interaction logs.
- Building structured interaction systems for resource-constrained learning contexts.