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Professor Mobli is a structural biologist and a group leader at the University of Queensland's Australian Institute for Bioengineering and Nanotechnology (AIBN). He is well known internationally for his contributions to the basic theory of multidimensional nuclear magnetic resonance and its applications to resolving the molecular structure of peptides and proteins, as well as studying their physiochemical properties and function. Mehdi's contributions to the field has been recognised by being appointed an Executive Editor of the AMPERE society's journal "Magnetic Resonance", and to the advisory board of the international Biological Magnetic Resonance Data Bank (BMRB) as well as serving on the board of directors of the Australia and New Zealand Society for Magnetic Resonance (ANZMAG). He is a former ARC Future Fellow and recipient of the ASBMB MERCK medal, the Australia Peptide Society's Tregear Award, the ANZMAG Sir Paul Callaghan medal and the Lorne Proteins Young Investigator Award (now Robin Anders Award).

Prof. Mobli's research group focuses on characterising the structure and function of receptors involved in neuronal signalling, with a particular focus on developing new approaches for the discovery and characterisation of modulators of these receptors through innovations in bioinformatics, biochemistry and and biophysics. This work has led to publication of more than 100 research articles attracting over 6,000 citations.

Dr. Nguyen is an expert in applying long-read Oxford Nanopore Sequencing Technologies (ONT) in agriculture, particularly livestock and other sectors. Her groundbreaking contributions include being the pioneer in sequencing the genomes of Brahman and Wagyu cattle, developing an innovative epigenetic clock for age prediction in cattle, and successfully implementing ONT portable sequencers for Blockchain traceability systems in Australia.

As a leader in the field, Dr. Nguyen spearheads the use of ONT long-read technology to scaffold genome assemblies in livestock, plants, protists, and insects. Her multidisciplinary expertise in molecular biology, advanced genomics, and animal sciences also empowers her to explore causative markers for commercial SNP arrays and identify significant DNA variants from low-coverage sequencing data sets.

Dr. Nguyen's exceptional achievements and expertise have been acknowledged through the prestigious ARC Industry Fellowship, recognising her as a promising early career researcher. Her work has significantly contributed to advancing genomic research in agriculture and has opened new avenues for utilising ONT sequencing technologies across diverse domains.

Dr Quan Nguyen is a Group Leader at the Institute for Molecular Bioscience (IMB), The University of Queensland. He is leading the Genomics and Machine Learning (GML) lab to study neuroinflammation and cancer-immune cells at single-cell resolution and within spatial morphological tissue context. His research interest is about revealing gene and cell regulators that determine the states of the complex cancer and neuronal ecosystems. Particularly, he is interested in quantifying cellular diversity and the dynamics of cell-cell interactions within the tissues to find ways to improve cancer diagnosis or cell-type specific treatments or the immunoinflammation responses that cause neuronal disease.

Using machine learning and genomic approaches, his group are integrating single-cell spatiotemporal sequencing data with tissue imaging data to find causal links between cellular genotypes, tissue microenvironment, and disease phenotypes. GML lab is also developing experimental technologies that enable large-scale profiling of spatial gene and protein expression (spatial omics) in a range of cancer tissues (focusing on brain and skin cancer) and in mouse brain and spinal cord.

Dr Quan Nguyen completed a PhD in Bioengineering at the University of Queensland in 2013, postdoctoral training in Bioinformatics at RIKEN institute in Japan in 2015, a CSIRO Office of Chief Executive (OCE) Research Fellowship in 2016, an IMB Fellow in 2018, an Australian Research Council DECRA fellowship (2019-2021), and is currently a National Health and Medical Research Council leadership fellow (EL2). He has published in top-tier journals, including Cell, Cell Stem Cell, Nature Methods, Nature Protocols, Nature Communications, Genome Research, Genome Biology and a prize-winning paper in GigaScience. In the past three years, he has contributed to the development of x8 open-source software, x2 web applications, and x4 databases for analysis of single-cell data and spatial transcriptomics. He is looking for enthusiastic research students and research staff to join his group.

Dr. Ong is an exceptional and driven researcher in the field of Animal Health, and her work revolves around studying pathogen genomes, transcriptomes, and host-associated metagenomes to enhance animals' resistance to diseases and improve their overall health and productivity.

One remarkable aspect of Dr. Ong's expertise is her versatility and enthusiasm for both wet lab and dry lab (bioinformatics) work. She finds equal joy in conducting hands-on experiments in the wet lab and diving into data analysis and computational work in the bioinformatics domain. This multidisciplinary approach empowers her to gain comprehensive insights into her research subjects and tackle complex challenges from various angles. Dr. Ong's vast skillset encompasses molecular biology and expertise in utilizing 2nd and 3rd generation sequencing technologies, along with her proficiency in bioinformatics tools and techniques. This diverse knowledge allows her to explore and employ cutting-edge methodologies, providing her with a unique advantage in her research endeavors.

One of Dr. Ong's significant achievements was conducting the first cattle reproductive tract metagenomic study in Australia. This groundbreaking study likely contributed valuable information about the reproductive health of cattle and opened new avenues for further research in this area. Additionally, her contributions extend to the assembly of complete genomes for multiple pathogens, such as Campylobacter fetus and Bovicola ovis. This accomplishment is instrumental in understanding these pathogens' genetic makeup, evolution, and mechanisms of infection, which is vital in developing targeted strategies to combat diseases affecting animals.

Keywords: Microbiome and Metagenomics, Pathogen genomics, Animal health, PCR, Sequencing, Host-microbe interactions

In The Ortiz-Barrientos Lab we seek to understand how natural selection drives the origin of traits and new species. We combine empirical and theoretical approaches from across multiple disciplines.

We are located in beautiful Brisbane, Australia, in the School of The Environment at The University of Queensland.

Please explore our pages to learn about research, culture, and the team of scientists that bring their passion and creativity to discovering how nature works.

I am a molecular virologist and postdoctoral research fellow in Prof. Alexander Khromykh's laboratory, specialising in virus evolution, virus bioinformatics, and reverse genetics.

My research journey began with a Bachelor of Science, First Class Honours in Molecular Biology from The University of Queensland (2015). I then pursued my PhD (2016-2021) at UQ's School of Biology under Prof. Sassan Asgari, where I analysed the virome and microbiome of Aedes aegypti and Aedes albopictus mosquitoes, focusing on their interactions with Wolbachia pipientis infections.

Since 2021, I have been a postdoctoral researcher in Prof. Alexander Khromykh's RNA Virology lab. Here, I contributed to developing the SARS-CoV-2 circular polymerase extension reaction (CPER) reverse-genetics methodology. As a physical containment 3 (PC3) researcher, I examine the virological properties of Flaviviruses and SARS-CoV-2 viruses under stringent PC3 conditions. Recently, with support from Therapeutic Innovation Australia and the Australian Infectious Diseases Research Centre, I have been utilising the Kunjin virus replicon system as a versatile and durable self-replicating RNA platform for vaccine and protein replacement therapy.

Beyond my virology work, I actively provide bioinformatics and phylogenetics support within UQ and internationally. Let's connect if you’re interested in collaborating on differential gene and ncRNA expression analysis, ATAC-sequencing, ancestral state prediction, virus discovery, or microbiome analyses.

I am also on the organising committee of MicroSeq (2023-2024), an Australasian Microbiology conference focused on microbial sequencing promoting PhD students and early career researchers. Additionally, I am an incoming Ex Officio member of the Australian Society for Microbiology (ASM) Queensland branch.

Dr Sathish Periyasamy is a Research Fellow at a Queensland Brain Institute and Senior Scientist at Queensland Centre for Mental Health Research. He is currently building and focusing on Systems/Genomic Medicine and conducting research in the interface of systems genetics and psychiatry. He is involved in studying the mechanisms of (patho-)physiological processes in psychiatric disorders using a unique combination of educational experience coupled with over twenty-five years of computer programming and eleven years of computational biology experience in biomedicine. Over the past 20 years, his experience working in chemical, biological and medical domains has enabled him to focus on the interface of basic and clinical research and contribute to translational research. From 2011 to 2014, he was involved in cancer genetics research at King Abdullah International Medical Research Centre, KSA. As the bioinformatics lead, with interdisciplinary skills and expertise at the interface of computational intelligence, systems biology, and quantitative/psychiatric genetics, He has been contributing to psychiatric genetics research since 2014 in Professor Bryan Mowry’s lab.

His current research areas include:

• Bioinformatics, Systems Biology and Statistical Genetics - Developing and applying GWAS, post-GWAS bioinformatics, cross-population genetic association and systems genetics approaches.
• Psychiatric Genomics
  • Common and rare variant association studies in schizophrenia using data generated from DNA microarray and whole-exome/whole-genome sequencing technologies.
  • Post-GWAS bioinformatics approaches to characterise risk variants discovered in schizophrenia GWAS.
  • Cross-population genetic association approaches in schizophrenia.
• Computational Intelligence – Developing conventional and visible deep learning models for biomedicine.
• Developing genetic resources for Indigenous Oceanic populations

My group's research uses large-scale genomic data to address knowledge gaps in disease, with a particular focus on cardiovascular disease.

Research programme

1. Cardiovascular disease research using big-data and genomics: with the goal of improving prevention and treatment of cardiovascular disease. By focusing on underrepresented groups, including women, my research aims to also address inequity in cardiovascular outcomes. I am the lead of the South Asian Genes and Health in Australia (SAGHA) study, which aims to increase representation of Australian South Asians in cardiovascular and genomics research. See saghaus.org for further details.

2. Drug genomics: I'm interested in using genomic approaches to predict drug effects, including identification of drug repurposing opportunities as well as identifying unknown adverse effects of medication.

3. Liver transplant research: In this collaboration with the QLD Liver Transplant Unit, we are using genomics to understand the effect of normo-thermic perfusion (a new organ storage method) on liver function, with the long-term goal of improving our ability to predict transplant outcomes.

Career summary: I was awarded my PhD from University College London (UK) in cardiovascular genetics. I began my post-doctoral fellowship under the mentorship of Prof Peter Visscher at the Queensland Brain Institute in 2013. Between 2016-2018, I was the lead analyst for the International Heart Failure Genetics Consortium (HERMES). In 2018, I was awarded an NHMRC Early Career Researcher Fellowship to investigate the relationship between cardiovascular and brain-related disorders using large-scale genetic and genomic data, under the mentorship of Prof Naomi Wray. I currently hold a National Heart Foundation Future Leader Fellowship.

Recognition:

2024 Australian Academy of Science Ruth Stephens Gani Medal for outstanding contribution to genetics research

2023 1 of 5 global finalists for the Nature Inspiring Women in Science (Scientific Achievement Award)

2023 Lifesciences QLD Rose-Anne Kelso Award

2023: Named in Australia's Top 25 Women in Science by Newscorp

2022 Queensland Young Tall Poppy Award

2022 UQ Foundation Research Excellence Award

2021/2022 Australian Superstar of STEM,

2020 Genetic Society of Australasia Early Career Award

2020 Women in Technology Rising Star Science Award

Critical Care Medicine focuses on supporting patients, often with one or multiple organ failures. Based at the largest Australian cardiac hospital, our research investigates better ways to support patients with heart and/or lung failure. We explore technological, pharmacological and engineering advances that could help our patients to live longer and better. Our group is world-renowned for clinically relevant large animal models, including heart failure, respiratory failure (ARDS), heart transplantation, sepsis, cardiogenic shock, and more. All our studies use hospital-grade equipment and follow the same clinical guideline to maximise translation. We actively take on honours, MPhil and PhD students from multi-disciplinary backgrounds (science, engineering, medicine, allied health), with a successful track record in supporting our students to secure their own grants and funding. Students are expected to contribute to other studies of the group. For more information about the group, please visit ccrg.org.au, and email if you are interested to join us.

Dr. Kelvin Tuong is a Senior Research Fellow/Group Leader at 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.

Dr. 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).

Dr. 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 >50 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.

Dr. 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 Dr. 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.

Dr. 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 Dr. Tuong at z.tuong@uq.edu.au.

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 Research Fellow in Bioinformatics, holding a joint position with QBI the Bredy group (50%) and IMB the Palpant group (50%). With over 15 years of experience in the bioinformatics/NGS field, my journey began with the greenfield development of three NGS platforms: 454, Illumina, and SOLiD. This experience has equipped me with extensive expertise in bioinformatic analysis, particularly in analyzing a variety of NGS data types. As the leader of the bioinformatics core facility at QBI from 2012 to 2022, my role was primarily focused on providing bioinformatics services. However, I have also been actively engaged in custom programming and analysis for numerous projects, allowing me to make significant intellectual contributions and deepen my involvement in research studies. Despite the typical service-oriented position of bioinformaticians, my publication record is notable, featuring over 40 peer-reviewed publications, with me serving as the first, co-first, or last author on 16 of them. Since 2019, my work has garnered 1,525 citations (as per Google Scholar, as of 12 Jan 2024), with 41.2% of my publications ranking in the top 10% of journals based on the CiteScore Percentile Source from SciVal. My contributions to bioinformatics are showcased in prestigious journals, with notable examples including lncRNA capture sequencing and ATAC-seq data analysis (Nature Communications, 2023) and (Cell Reports, 2022), de novo transcriptome assembly (Development, 2022), noncanonical structure Z-DNA analysis (Nature Neuroscience, 2020), DNA modification m6dA data analysis (Nature Neuroscience, 2019), whole-exome sequencing data analysis (Genome Medicine, 2017), and cross-ethnic meta-analysis (Nature Communications, 2017).