Human-centered computing
Design & Interaction
Pushed me to think about AI not as a product feature but as a design material — where trust, transparency, and agency matter as much as accuracy.
Selected research presentations
Explored how intrinsically motivated "inner thoughts" can help conversational agents contribute proactively instead of waiting for prompts — changing how I think about AI as an active collaborator rather than a passive tool.
Examined how bias and representation gaps affect AI-supported tools for culturally and linguistically diverse children — reinforcing the importance of source verification, an approach I later incorporated into Paperflow by linking generated content back to its source sections.
Taught me to prototype quickly and test assumptions early — a habit that now shapes every project from day one.
Computer science foundations
Systems & Algorithms
Grounded my intuition for when elegance and efficiency actually matter, and when clarity should win instead.
This quarter (Spring 2026)
Current Coursework
Building deeper foundations in AI and machine learning to support work in human-centered intelligent systems.
Classical AI search, reasoning, and decision-making methods that support intelligent systems.
Neural network architectures and representation learning with applications to language and structured data workflows.