Jin Cheong
Staff Quantitative UX Researcher
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolJin Cheong is a Staff Quantitative UX Researcher at Meta with a decade of experience dissecting human social interaction through multimodal data, large-scale logs, and international surveys. He combines cognitive neuroscience training (PhD, Dartmouth) with hands-on hardware and software systems for capturing and analyzing facial expressions, skin conductance, and conversation dynamics. Jin’s work spans photo/video sharing, shared experiences, and group discussions, translating complex behavioral signals into product insights that shape social features at scale. He progressed through roles from Quantitative UX Researcher to Staff at Meta, bringing academic rigor from Princeton and Dartmouth into industry research practice. Based in Sunnyvale, Jin uniquely bridges lab-grade physiological measurement and production-scale analytics, enabling richer understandings of online social behavior.
10 years of coding experience
4 years of employment as a software developer
Mandarin Chinese, Mandarin Chinese at Daewon GLPDoctor of Philosophy - PhD Cognitive Neuroscience, Doctor of Philosophy - PhD Cognitive Neuroscience at Dartmouth CollegeBachelors Psychology, Bachelors Psychology at Princeton University
Github Skills (95)
python10
toolbox10
face-api10
connectivity10
crowd10
espn10
csv10
points10
meta-analysis10
csv-reader10
player10
summaries9
face9
electrophysiology9
bids9
Programming languages (6)
Github contributions (5)
jcheong0428/Fantasy-Premier-League
Jan 2019 - Feb 2021
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
Contributions:4 PRs, 4 pushes, 3 branches in 2 years 1 month
csvtotalplayersleagueenglish
jcheong0428/FPL_DASH
Jan 2021 - Oct 2021
A user-customizable Fantasy Premier League (FPL) dashboard with data from understat and official FPL websites. Analyze tables, graphs, and regressions, across different time spans (gameweeks) to extract new insights on player form, value, and scoring predictions.
Contributions:88 commits, 2 PRs, 71 pushes in 9 months
scoringfantasy-premier-leaguespanspremier-leaguedashboard
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