Background

Dr Thi Nguyen became a data scientist at Burnet Institute in 2025, following his role as data manager. His research interests lie in healthcare data science, biostatistics, and data automation, with expertise in the application of advanced machine learning and natural language processing methods to public health data.

Dr Nguyen has substantial experience with electronic data capture platforms including REDCap. He is actively involved in integrating these systems into research workflows to support rigorous data collection, management, and analysis in public health studies.

Prior to joining Burnet, Dr Nguyen was a research fellow at the National University of Singapore, where he developed natural language processing algorithms to enhance infectious disease surveillance systems.

Qualifications

• 2023: Master of Biostatistics, University of Melbourne, Australia
• 2019: Machine Learning Engineer Nanodegree, UDACITY
• 2013: PhD in Computer Science, La Trobe University, Australia
• 2008: Bachelor of Computer Science (Hons), La Trobe University, Australia
• 2007: Bachelor of Computer Science, La Trobe University, Australia

Positions

• 2025–present: Data Scientist, Burnet Institute, Melbourne
• 2019–2024: Data Manager, Burnet Institute, Melbourne
• 2019: Research Collaborator and Academic, La Trobe University, Melbourne
• 2013–2015: Research Fellow, National University of Singapore, Singapore
• 2009–2013: PhD Candidate, La Trobe University, Melbourne

Awards

• 2023: Artificial Intelligence in Public Health Competition 3rd Prize, University of Melbourne
• 2008: First Class Honours, La Trobe University
• 2006: Member of the Golden Key International Honour Society in recognition of academic excellence achievement, La Trobe University
• 2006: 2005 Dean's Honours List, La Trobe University