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Shu-Feng is a PhD student in the School of Public Health Sciences (previously School of Public Health and Health Systems) at the University of Waterloo. Shu-Feng completed her undergraduate degree in Nutrition at National Taiwan Normal University, her first master's in Nutrition and Food Systems at University of Kentucky, and her second master’s Business Analytics and Project Management at University of Connecticut.
Prior to joining Zahid’s research team, she worked at an international heath insurance corporation in the United States as a Data Analyst. She has worked as Teaching Assistant throughout her previous and current graduate programs. She has published a scoping review on social listening from social media data under the current COVID-19 pandemic. She has also initiated and run a social media informatics interest group where participants can learn and critique studies using social media data.
Shu-Feng is passionate about infodemic or mis-/disinformation associated with infectious diseases, and this research topic has been amplified by the current global crisis. Her research aims to develop a conceptual framework to further explore how infodemic influences people’s decision and behaviour with data from social media analyzed by machine learning or artificial intelligence techniques. Other research areas of her interest include Infodemiology, infosurveillance, digital health, data science, and machine learning/artificial intelligence.