More output does not mean more taste.
When generation is cheap, the scarce work is comparison: seeing dimensions, tradeoffs, and evidence across options.
UC San Diego HCI Ph.D. student
I study how interfaces help designers compare options, reason through tradeoffs, and decide what is worth making.
Cognitive Science Ph.D. student at UC San Diego, advised by Prof. Steven P. Dow in ProtoLab.
Thesis thread
When AI can generate ten options in a minute, the hard part is not getting more options. It is learning what differs, what matters, and why one direction is worth pursuing.
Good interfaces should make comparison easier: show what changed, what evidence exists, and which decision comes next.
Why now
AI makes it easy to produce variants; my question is how people learn to choose well.
When generation is cheap, the scarce work is comparison: seeing dimensions, tradeoffs, and evidence across options.
Designers, researchers, PMs, and engineers all shape early artifacts now. Interfaces need to support shared reasoning before decisions harden.
Fast cycles are useful only if teams keep room for critique, incubation, and explaining why a direction is better.
Research focus
Interfaces for exploring generated options with visible dimensions, constraints, and consequences.
Studies and metrics for diversity, verification cost, calibration, reliance, and iteration that actually changes the artifact.
Systems that bring context-aware assistance into spatial tasks, mixed reality, and everyday environments.
Featured work
A prompt-design workspace that surfaces visual dimensions so novices can make more deliberate product concepts.
Trace-guided micro-episodes that turn messy interaction logs into moments people can explain and learn from.
A signed distance function optimization framework with stronger convergence conditions for stable surface reconstruction.
A benchmark for physical scene understanding that compares human intuitive physics with machine vision models.
Recent signal
Pinned Met the great Don Norman and even got a selfie + a “To Sirui” signed “Yellow Book”!
Our CHI 2026 workshop position paper, What Happened and Why? Trace-Guided Micro-Episodes with Elicited User Explanations for Product Iteration, was accepted to Herding CATs - easily one of the best workshop names ever! The whole ProtoLab is going to Spain! Might be a UCSD party!
HotSpot got selected as a CVPR 25 Highlight!
Selected publications
Research opportunities
I like working with undergraduate and master's students who can stay curious about a messy question long enough to make it sharper.
You do not need to arrive as an expert. It helps if you enjoy reading closely, making prototypes, testing claims, and explaining what changed your mind.
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