Born and raised in Shanghai, Michelle came to Vancouver to pursue a Bachelor of Arts degree in Economics at the University of British Columbia.
While studying at UBC, Michelle discovered her interest in econometrics and how statistical models can be used to understand behavior and answer important real-world questions. She developed a strong foundation in data analysis and modelling and applied her skills to a diverse range of topics. For example, she used regression modelling to understand what factors most strongly predict cannabis use, conducted an analysis to evaluate the relative costs and benefits of investing in major energy projects, and how electric vehicle subsidization could impact greenhouse gas reduction.
While at UBC, Michelle also used learned the basics of the research process, including research design, questionnaire design, population sampling and data interpretation.
As Research Support at Sentis, Michelle’s responsibilities include survey programming, qualitative data analysis, online reporting site testing, and database management.
When she’s not working, she enjoys watching soccer games, reading, and traveling. She also works out, but mainly to burn off the calories from bubble tea.