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Associate Professor Kelvin Tuong is an NHMRC Emerging Leadership Fellow and Deputy Director and group Leader of the Ian Frazer Centre for Children’s Immunotherapy Research (IFCCIR), Child Health Research Centre. He is interested in single-cell analysis of immune cells and harnessing adaptive immune receptors for understanding immune cell development and function in health and in cancer.

A/Prof Tuong was born and raised in Singapore and moved to Brisbane, Australia, after completing national service in Singapore and obtaining a Diploma in Biomedical Laboratory Technology (Ngee Ann Polytechnic).

A/Prof Tuong was originally trained as a molecular cell biologist and gradually transitioned into bioinformatics during his post-doctoral training. He has been very prolific for an early career researcher, having published >70 articles since 2013, with nearly a third of them as first/co-first or last author and has a stellar track record of pushing out highly collaborative work in prestigious journals including Nature, Cell, Science, Nature Medicine, Nature Biotechnology J Exp Med etc. He has the rare combination of having excellent laboratory and bioinformatics skill sets which provide him a strong command of both fundamental immunology and computational approaches.

A/Prof Tuong completed his undergraduate Bachelor's degree in Biomedical science with Class I Honours, followed by his PhD in macrophage cell biology and endocrinology at UQ (Prof Jenny Stow lab and Emiritus Prof George Muscat lab, IMB, UQ). He then went on to a post-doc position with Emiritus Prof Ian Frazer (co-inventor of the Gardasil cervical cancer vaccine, UQ Frazer Institute, Translational Research Institute) where he worked on HPV immunology, cervical cancer and skin cancer. In his time in the Frazer lab, he developed an interest in bioinformatics analyses as a means to tackle and understanding immunology problems in health and disease. He then moved to the UK and joined Prof Menna Clatworthy's lab at the University of Cambridge and Prof Sarah Teichmann's lab at the Wellcome Trust Sanger Institute. He has focused his interests on single-cell analyses of tissue immune cells, including T and B cells and their specific receptors (TCR/BCR). He has developed bespoke bioinformatics software, including one tailored for single-cell B Cell Receptor sequencing analysis, Dandelion, which he used in one of the largest combined single-cell transcriptomic, surface proteomic and TCR/BCR sequencing dataset in the world, published in Nature Medicine, and more recently in Nature Biotechnology where we introduced a TCR-based pseudotime trajectory analysis method.

A/Prof Tuong is now leading the Computational Immunology group at the IFCCIR and his lab is focused on investigating how pediatric immunity is perturbed during cancer at the cellular level and how this information can be used for creating novel warning systems for children with cancer. For potential students/post-docs/trainees interested in joining the team, please contact A/Prof Tuong at z.tuong@uq.edu.au.

I am an interdisciplinary researcher and a Fellow of the UK Higher Education Academy (HEA) Professional Standards Framework (UKPSF). With a strong background in Agricultural Biotechnology, Molecular Plant Physiology, Biochemistry, Omics (Proteomics, Metabolomics, Transcriptomics), and Statistical data analysis, I am dedicated to advancing knowledge and finding practical solutions in the field of crop production.

My current research focuses on studying axillary bud outgrowth and axillary meristem arrest, a variable trait that holds significant importance in crop production. By delving into the intricate mechanisms governing axillary branching, I aim to unravel the underlying molecular and physiological processes that contribute to the regulation of this trait. Understanding the factors influencing axillary branching has the potential to revolutionize crop yield and quality by optimizing plant architecture and resource allocation.

Dr Jian Zeng is a statistical geneticist and NHMRC Emerging Leadership Fellow at the Institute for Molecular Bioscience (IMB) at the University of Queensland (UQ). He received his PhD in animal breeding and genetics at Iowa State University and joined the Program in Complex Trait Genomics (PCTG) at UQ in 2016. His research focuses on the development and application of innovative statistical methods for estimating the genetic architecture and evolutionary signals in complex traits, identifying genetic variants, genes and other molecular intermediates associated with phenotype variation, and predicting trait phenotypes using genome sequence data. In 2019, he was awarded an NHMRC Investigator Emerging Leadership Grant to develop statistical methods and software tools for best predict an individual’s disease risk using genomic and omics data. He was an invited speaker at the prestigious Gordon Research Conference in 2019.

I am a senior bioinformatician at the Institute for Molecular Bioscience, The University of Queensland, with over 20 years of experience in next-generation sequencing (NGS) data analysis. My career began with the greenfield development of three major NGS platforms: 454, Illumina, and SOLiD. This early experience laid the foundation for my extensive expertise in bioinformatic analysis across a wide range of NGS data types.

While bioinformaticians are often positioned in service-oriented roles, my work has consistently extended beyond service delivery. For example, as the leader of the bioinformatics core facility at the Queensland Brain Institute from 2012 to 2022, my primary responsibilities included providing bioinformatics support, but I also actively contributed to project design, supervised PhD and Master’s students, and maintained a strong research profile.

To date, I have authored 45 peer-reviewed publications, with more than one-third as first, co-first, or last author. According to SciVal, over 57.8% of my publications rank in the top 10% most cited in their respective fields. My research spans the development of novel bioinformatics tools, such as the TRIAGE R package for regulatory analysis of both bulk and single-cell RNA-seq data (Briefings in Bioinformatics, 2025), as well as studies in single-cell transcriptomics (Nature Communications, 2025; Developmental Cell, 2024), lncRNA analysis (Molecular Psychiatry, 2024; Nature Communications, 2023), integrative analysis of ATAC-seq and lncRNA data (Cell Reports, 2022), de novo transcriptome assembly (Development, 2022), noncanonical Z-DNA structure analysis (Nature Neuroscience, 2020), m6dA DNA modification analysis (Nature Neuroscience, 2019), whole-exome sequencing analysis (Genome Medicine, 2017), and cross-ethnic meta-analysis (Nature Communications, 2017), reflecting a broad and sustained contribution across multiple areas of genomics and computational biology.