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
This paper explored how intrinsically motivated “inner thoughts” can help conversational agents contribute proactively instead of waiting for prompts, which changed how I think about designing AI systems as active collaborators rather than passive tools.
This paper examined how bias and representation gaps affect AI-supported speech-language tools for culturally and linguistically diverse children, reinforcing the importance of careful prompting and source verification, which is an approach I later incorporated into Paperflow by linking generated content back to its original sections.
Taught me to prototype quickly and test assumptions early — a habit that now shapes every project from day one.
Grounded my intuition for when elegance and efficiency actually matter, and when clarity should win instead.
Next quarter
Upcoming Coursework
These upcoming courses support my growing interest in human-centered AI systems and intelligent learning tools.
Exploring classical AI search, reasoning, and decision-making methods that support intelligent systems.
Studying neural network architectures and representation learning with applications to language and structured data workflows.