Background

Dr. Thi Nguyen has a diverse background in computer science, data science, and public health. He joined Burnet Institute in 2019 as a Data Manager, where he managed, analysed, visualised healthcare data, applied machine learning and natural language processing, and worked with electronic data tools like REDCap. Before that, he was a Research Fellow at the National University of Singapore, where he designed and developed natural language processing algorithms for infectious disease surveillance.

Dr. Nguyen has a PhD and an honours degree in Computer Science from La Trobe University. He also recently completed a Master of Biostatistics at the University of Melbourne in 2023, significantly broadening his expertise in public health, epidemiology, and biostatistics. Dr. Nguyen's passion lies in health data analysis, data management, biostatistics, machine learning, and natural language processing. 

Qualifications

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

Positions

• 2019 - present: 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 

Reports + Policy Briefs

2022 (4)

• The Optimise Study: A rapid survey examining frequency, impacts of long COVID and associated concerns. (PUBLIC HEALTH REPORT) Hellard M, Gibney K, Stoové M, Chavez KM, Wilkinson A, Heath K, Altermatt A, Young K, Nguyen T, Gibbs L, Osborne D, Jin D, Saich F. The Optimise Study. August, 2022.
• The Optimise Study: A rapid survey examining the influence of potential cessation of the Victorian pandemic declaration. (PUBLIC HEALTH REPORT) Hellard M, Gibney K, Stoové M, Wilkinson A, Heath K, Altermatt A, Young K, Nguyen T, Jin D, Saich F. The Optimise Study. June, 2022.
• The Optimise Study: A rapid survey examining concerns about children returning to school in 2022. (PUBLIC HEALTH REPORT) Hellard M, Gibney K, Hill S, Merner B, Heath K, Altermatt A, Jin D, Young K, Thomas A, Nguyen T, Wilkinson A, Saich F. The Optimise Study. April, 2022.
• The Optimise Study: Summer 2021-2022 Snapshot. (PUBLIC HEALTH REPORT) Hellard M, Gibney K, Stoové M, Young K, Altermatt A, Heath K, Thomas A, Nguyen T, Wilkinson A, Merner B, Hill S, Saich F, Jin D. The Optimise Study. April, 2022.

2021 (1)

• COVID-19 testing in schools and attitudes and concerns about the current state of the pandemic. (PUBLIC HEALTH REPORT) Saich F, Heath K, Altermatt A, Thomas A, Nguyen T, Wilinson A, Merner B, Hill S, Fletcher-Lartey S, Gibbs L, Gibbs L, Shearer F, Stoové M, Gibney K, Hellard M. The Optimise Study. November, 2021.