Dr Nguyen acquired multidisciplinary expertise at the world’s top innovative institutions in Australia (UQ, CSIRO) and internationally (RIKEN Institute and Stanford School of Medicine). With supports from multiple prestigious fellowships, including ARC DECRA and NHMRC (EL2), he established his leadership in addressing cancer complexity at single cell and tissue levels. Dr Nguyen has led multiple large-scale projects/programs, funded nationally (e.g., ARC, NHMRC, MRFF) and internationally (e.g., DoD, NCI, Wellcome Trust).
CURRENT APPOINTMENTS
Group Leader, Senior Research Fellow; NHMRC Investigator Emerging Leadership Fellow (EL 2); Queensland Institute of Medical Research Berghofer (QIMR), (2023-Present)
Group Leader, Senior Research Fellow, Institute for Molecular Bioscience, Genomics and Machine Learning Lab, UQ, (2019-present)
Affiliate Senior Research Fellow, School of Biomedical Science, Faculty of Medicine, UQ, (2020-present)
Affiliate Investigator, ARC Training Centre for Information Resilience, (2019-present)
Visiting Scholar, Stanford School of Medicine, USA, (2019-present)
PREVIOUS APPOINTMENTS
PhD Scholar, Australian Institute for Bioengineering and Nanotechnology, University of Queensland (2009-2013)
Postdoctoral Researcher, RIKEN Research Institute, Japan (2013-2015)
CSIRO OCE Research Fellow, The Commonwealth Scientific and Industrial Research Organisation (2015-2016)
Senior Research Officer and Research Fellow, Institute for Molecular Bioscience – IMB, UQ (2016-2018)
Developing next generation machine learning for diagnosis and prognosis from integrating spatial sequencing data and histopathological images (Spatial Cellular Pathology)
Predicting metastasis and disease progression using spatial data
Discovering new immunotherapy drug targets using ligand-receptor screening from spatial and single cell data
Studying neuroinflammation across space and time in the injury context (e.g., spinal cord injury, traumatic brain injury), and in aging context (e.g., neuronal degenerative diseases)
Developing spatial multiomics technologies and computational methods to integrate spatial data with single cell and genomics data.
RESEARCH HIGHLIGHTS
My research program has advanced understandings of cellular ecosystems in health and disease:
Machine learning methods for combining sequencing and imaging data (Precision Oncology, 2022; Nature Communs, 2023)
New technological platforms and analysis of infected tissues (Nature Communs, 2023; Immunology, 2023; Front in Immunology, 2023)
Resolved intra- and inter-patient heterogeneity (Genome Biol, 2019 & 2021)