Yi Feng
Quantitative User Experience Researcher
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolYi Feng is a Quantitative User Experience Researcher with eight years of cross-disciplinary experience at the intersection of HCI, cognitive science, and product development, currently shaping Pixel Watch experiences at Google. She combines rigorous statistical and machine learning methods with user-centered design—applying fMRI connectome analysis, NLP (BERT, top2vec), and experimental platforms—to translate complex behavioral signals into actionable product insights. Her background spans academic research at Stanford and Colby, applied affective computing at Tsinghua, and product management at Tencent, giving her a rare fluency in both lab-grade experimentation and shipping consumer features. Comfortable with Python, R, SPSS, experiment scripting, and prototyping, she consistently bridges research rigor and real-world impact. An interesting thread across her work is using neural and linguistic data to predict human outcomes—whether emotion regulation success or song popularity—revealing patterns that inform design decisions.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Colby CollegeMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Chinese, Chinese, EnglishProgramming languages (2)
Github contributions (5)
yifeng20/FengTipCalc
Oct 2020 - Oct 2020
Contributions:13 pushes, 4 branches in 16 days
yfpro/project5_new
Oct 2018 - Oct 2018
Contributions:10 pushes, 1 branch in 4 days
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