Xiao Song - UX Researcher at Google

Xiao Song

UX Researcher at Google

San Francisco Bay Area United States

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Summary

👤

Senior

🎓

Top School

Xiao Song is a UX researcher with 11 years of interdisciplinary experience applying human factors, neuroscience, and data science to consumer hardware and clinical research. Currently at Google, Xiao leads end-to-end UX research for Google Nest cameras and doorbells, bringing a deep understanding of form factor, sensor input, gesture interaction, and AI-supported experiences. Their background in neuroscience and clinical trials (fMRI, EEG, TMS) informs a rigorous, evidence-based approach to usability and comfort testing for wearables and smart home devices. Xiao has bridged research and engineering as a technical project manager, improving NLP-driven search and feature UX in data products. Based in the San Francisco Bay Area, they combine lab-grade experimental methods with pragmatic product delivery to translate complex human behavior into actionable design insights. Notably, their career blends hands-on physiological measurement techniques with scalable product research—helping hardware feel intuitive at the sensor level as well as the user interface.

10 years of coding experience

7 years of employment as a software developer

Bachelor of Science - BS, Neuroscience, Bachelor of Science - BS, Neuroscience at University of California, Davis

Master of Arts - MA, PSYCHOLOGY, Master of Arts - MA, PSYCHOLOGY at University of Cincinnati

(FKA Lambda School), Data Science, (FKA Lambda School), Data Science at BloomTech

Github Skills (5)

integer-programming5

python3

cut3

mixed-integer-programming3

computation3

Programming languages (2)

SagePython

Github contributions (5)

pgxiao/sage

Jun 2015 - Aug 2015

Contributions:64 pushes, 2 branches, 1 comment in 2 months

pgxiao/cutting-plane-method

Jun 2016 - Aug 2016

Contributions:20 pushes, 1 branch in 2 months

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