Rena Yang

Yang (Rena) Yang has recently graduated from the PhD program in the School of Public Health Sciences, co-supervised by professors Helen Chen and Zahid Butt. Rena’s research interests include AI and machine learning in public health, statistical modelling on population-level health data, data-driven evidence-based public health decision making and decision support, health technology assessment and economic evaluation on mobile health (mHealth) interventions. She has been working on infoveillance, social media and COVID-19 projects. In addition to public health, Rena has a background in computer engineering and business. Before joining the research team at the University of Waterloo, Rena worked in IT, eCommerce, electrical generation, transmission and distribution, and medical devices industries across China, Singapore, and Canada. She also has a background in sales and marketing, customer service, business operations, and human resources.