I am a PhD researcher in Human–Computer Interaction at Santa Clara University, advised by Kai Lukoff. My research asks one central question: how can generative AI expand what people are able to create and accomplish?

I approach this question through three connected threads: user-defined computing²2 papers ↓JacarandaUser Agency in Runtime Malleable Software Under Change Aversion, where people shape and extend the software they use; Generative User Interfaces (GenUI)²2 papers ↓JacarandaUser Agency in Runtime Malleable Software Under Change Aversion, where interfaces are generated around people's goals at runtime; and AI-assisted design and development¹1 paper ↓Generative Design and Vibe Coding, where the lines between designing, developing, and using software begin to blur.

Human intent + AI capability → software anyone can shape

Enabling people to define, constrain, and reshape what AI generates—regardless of technical expertise.

My current work examines how people form and refine their intent, how those needs translate into software features, and how designers, developers, and end users differ in deciding what AI can and cannot change at this stage of AI adoption. Building on these insights, I explore new design and development contracts: what should remain invariant when the software itself can be generated and reshaped at runtime?

I'm open to working with undergraduate and master's students! Read my papers and email me if interested.