Quyen To is a postdoctoral research fellow in the Physical Activity Research Group at the Central Queensland University. He received a Master of Public Health at Tulane University, USA (funded by a Fulbright scholarship) and a Master of Science from University of South Carolina, USA. In 2018, he completed his PhD at Queensland University of Technology.

His research focuses on applying digital technology (e.g., wearables, smartphone apps, and social media) and advanced machine learning techniques to help people improve their health behaviours. He is also interested in big data analytics that can help with better decision-making to improve health and quality of life. Moreover, he has been involved with studies using different designs including complex design surveys, longitudinal and experimental studies. Additionally, he has experience with analysing large data from Twitter (millions of tweets), the 10,000 Step program (millions of days with step data), and accelerometry data (hundreds of millions of data points). He has previously conducted Rasch analysis, moderation analysis, and used deep learning-based models such as BERT and Bi-LSTM.