Xian Tao

Xian Tao is an experienced UX researcher with a strong background in social media user behaviors, product insights, survey methodology, and data visualization.

He has a passion for converting data into actionable business insights and excels in collaborating with cross-functional teams to drive strategic decision-making.

Xian Tao's skills include survey design, research expertise in areas like JTBD and user mental models, and proficiency in various software such as R, SQL/Hive, BigQuery, and Python.

He is adept in data visualization tools like Tableau and R Shiny, as well as statistical techniques including Regularized Regression, Classification, and XGboost.

Xian Tao holds a Bachelor of Science in Statistics from Shanghai University of Finance and Economics and a Master of Science in Statistics from the University of Chicago.

His professional journey includes roles such as Staff Quantitative UX Researcher at Meta, Senior Quantitative User Researcher at Twitter, and Senior Manager, Statistics at NORC at the University of Chicago.

He has also contributed as a Research Assistant at the University of Chicago Booth School of Business and gained experience as an Analyst Intern at Ernst & Young.