Qisheng Li is a Quantitative UX Researcher with a decade of experience bridging human-computer interaction, machine learning, and product-facing evaluation work across top tech labs. Currently at Google, he previously advanced contextual AI and multimodal UX at Meta Reality Labs and explored human-centered ML, accessibility, and AR during an AI/ML residency at Apple. His background includes research internships at Microsoft, Adobe, and Google’s Project Euphonia, where he worked on model compression and evaluation that contributed to published work. Trained as a PhD candidate in Computer Science at the University of Washington with a BA in Math and CS from Macalester, he combines rigorous experimental design with practical benchmarking for GenAI systems. Colleagues value his ability to translate complex modeling and evaluation into actionable product insights and usability improvements. Outside formal roles he pursues HCI research projects on GitHub, signaling ongoing curiosity about how people interact with emerging AI interfaces.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Washington
Bachelor of Arts - BA Mathematics and Computer Science, Bachelor of Arts - BA Mathematics and Computer Science at Macalester College
JavaScript plug-in, data, and analysis code for Scientific Reports submission: Controlling for Participants’ Viewing Distance in Large-Scale, Psychophysical Online Experiments Using a Virtual Chinrest
Contributions:22 commits, 18 pushes, 1 branch in 1 year 9 months
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