Salina Chu
About Salina Chu
Salina Chu is a Graduate Research Assistant at the University of Massachusetts Boston, where she analyzes data to improve site content and traffic. She has a diverse background in research, marketing, and education, with experience in various analytical tools and methodologies.
Work at UMass Boston
Salina Chu has been serving as a Graduate Research Assistant at the University of Massachusetts Boston since 2017. In this role, she has contributed to various research projects and has edited four articles submitted to academic journals. Additionally, she worked as a Graduate Teaching Assistant from 2018 to 2020, where she supported faculty and assisted students in their coursework.
Education and Expertise
Salina Chu holds a Doctor of Philosophy (PhD) in Public Policy from the University of Massachusetts Boston, which she completed in 2022. She also earned a Master of Science in Public Policy from the same institution between 2017 and 2019. Prior to that, she obtained a Master of Science in Healthcare Emergency Management from Boston University in 2014. Her academic background includes a Bachelor of Arts in Russian Language and Literature from Shanghai International Studies University, completed in 2013.
Professional Experience
Salina Chu has a diverse professional background. She worked as a Teaching Assistant at Boston University School of Medicine for six months in 2013-2014. She also served as a PR Intern in the Fashion Division at CHANEL in Shanghai from 2011 to 2012. In 2017, she held the position of Marketing & UX Strategist at WeHousing in Pleasanton, California. Additionally, she worked briefly as Coordinator of IT Foundation at McDonald's Corporation in Shanghai in 2011.
Analytical Skills and Tools
Salina Chu possesses expertise in various analytical tools and methodologies. She is proficient in SQL, Python, Tableau, STATA, SPSS, Excel, Google Analytics, NVIVO, Google Data Studio, and Google Cloud. Her advanced research skills include Causal Inference, A/B Testing, Regression Analysis, Cluster Analysis, Machine Learning, and Quasi-experimental Methods such as Time Series, Difference-in-Difference, and Panel Data.
Social Media and Content Development
As part of a Social Media Team, Salina Chu developed content and strategized branding for a journal's social media presence, focusing on platforms like Twitter and Facebook. She also utilized Google Analytics to analyze data, enhance site content, and boost site traffic, showcasing her ability to integrate analytical insights with content strategy.