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Clara Jiang is a postdoctoral research fellow at the Institute for Molecular Bioscience, the University of Queensland. Clara’s research focuses on using genomic and transcriptomic analysis to investigate the genetic basis of cardiovascular and psychiatric disorders, with a particular focus on female health, as well as using statistical genomic approaches to explore possible opportunities for drug repurposing. Clara graduated from the University of Queensland with Bachelor of Advanced Science (First Class Honours) in 2017, and was awarded the University Medal. Clara was awarded her PhD at the University of Queensland in 2021, where she utilised bioinformatic approaches and molecular experiments to decipher the genetic aetiology of breast cancer, specifically the regulatory role of transposons or ‘jumping genes’ in modulating the transcriptional landscape in the cancer state. Clara is also a UQ Wellness ambassador and an advocate for promoting equity, diversity and inclusion in academia.

I am centre-wide sernior research fellow in the ARC Centre of Excellence for Plant Success in Nature and Agriculture, based here at UQ. Currently I lead a small but growing team of computational biologists focusing on new techniques for predicting complex quantitative traits through causal molecular networks using AI and ML approaches.

Areas of interest:

• Machine Learning, AI and high performance computing to learn and exploit functional connectivity in biological data
• Gene Expressions networks
• Multiplex networks, information propagation and perturbation
• Genomic Prediction

Our goal is to aid crop and forestry breeders in selecting parental lines more accurately, which gives us a pathway to improving certain plant species. I also spend time developing new data analysis techniques that are being applied to human disease and conditions such as Autism and substance addiction.

David completed his PhD at Australian National University in 2017, focusing on the genome-wide basis of foliar terpene variation in Eucalyptus. He then undertook a postdoc at Oak Ridge National Laboratory, a US Dept of Energy lab with a focus on big data. After a stint as a staff scientist at Oak Ridge, David arrived at the Centre of Excellence in 2023 in the role of a Senior Research Fellow. He currently supervises 3 PhD students and one full time postdoctoral researcher at UQ.

Bio

Dr. Yang Liu is an evolutionary geneticist, currently working at the University of Queensland (UQ) as a Research Fellow. Prior to UQ, he obtained a PhD from the University of British Columbia (UBC) and worked in research as a postdoc at UBC and University of Cambridge. He is broadly interested in the eco-evolutionary dynamics of plant populations that have undergone environmental heterogeneity over spatiotemporal scales. The goal of his research is to increase our understanding of the impacts of major episodes in plant demography and life histories on trait evolution and to foster sustainability. He tackles research questions at the interface between ecology and evolutionary biology with the integration of population genetics and quantitative genomics to elucidate the ecological and genetic basis of phenotypic traits and biological adaptation.

Currently, he leverages available Arabidopsis natural accessions across its geographic distribution range, coupled with their genomic data, to perform common-garden and divergent selection experiments. From these he aims to dissect features of the genetic architecture of traits and to reveal their relationships to environmental conditions. He is focusing on the shoot branching phenotype and its associated traits including flowering timing.

ECO-EVO-GENOMICS TEAM

Three PhD positions available in 2023-2025

Ongoing Projects

Project 1: Unification of selection and inheritance informs adaptive potential for generations to come (Applications open in 2023; CLOSED)

Natural selection acts on phenotypes and produces immediate phenotypic effects within a generation. In this short-term process, some phenotypes are more successful than others. Use of single traits for selection analysis could generate opposing outcomes and cannot predict how selection operates on an organism. In contrast, multivariate selection in trait combinations utilizes the attribute of functional integrations to reveal how selection works in a multi-dimensional trait space. Selection is an important force driving evolution but not equal to evolution; the latter leads to changes in genetic variation. Only through assessment of the evolutionary responses of phenotypes can we understand the transmission of such selection from one generation to the next. How does selection occurring within a generation affect evolution across generations? In the project, we aim to address the question by unifying the two processes to forecast evolutionary potential in relation to selection. To that end, we partition genetic variance into components based on an experimental design, employ experimental evolution to estimate additive genetic variance-covariances (G) on quantitative scales and evaluate G-matrix evolution. We eventually hope to elucidate how populations subjected to artificial selection move along evolutionary trajectories and whether there are genetic constraints making the fitness optimum evolutionarily inaccessible.

Project 2: Genetic and ecological bases of shoot branching divergence across Arabidopsis species-wide accessions (Applications open in 2024; CLOSED)

Spatial patterns of genetic variation are shaped by environmental factors, topological features, and dispersal barriers. As a result, we often can identify population genetic structure stratified by geographic locations or ecological niches, the drivers of population isolation by distance or the environment, clinal genetic variation over space in alignment with gradually varying environment gradients, and adaptive genetic variation in relation to environmental variables. At the ecological level, assembly rules uncover the coordination of phenotypic traits along environmental clines. Tradeoffs between traits represent the consequence of environmental filters and reflect adaptation to environmental heterogeneity. For example, three fundamental adaptive strategies are delineated by a CSR theory, that is, Competitors, Stress-tolerators, and Ruderals. As such, ways of genetic and phenotypic assemblage over space and throughout time point to a role for natural selection driven by spatially varying environmental conditions to maintain genetic variation that confers natural variation in phenotypes. In this project, we focus on an important agronomic trait – shoot branching – due to its important contribution to the overall shoot architecture of a plant and being a potential target for yield optimization. We aim to dissect features of the genetic architecture of the trait and to reveal its relationships to environmental conditions. We integrate geographic, environmental, and genomic data from the 1001 Arabidopsis Genomes Project, coupled with the branching phenotype measured in selected accessions and then forecasted for the rest of the 1001 accessions using machine-learning models, to investigate the ecological relevance and genetic underpinnings of branching divergence across the Arabidopsis species-wide accessions. Our study has implications for enhancing our understanding of the genetic and ecological basis of shoot branching divergence and the potential for generating novel knowledge for improving phenotypic predictability.

Project 3: Dimensionality, modularity, and integration: Insights from the architecture features of pan-genomes, pan-transcriptome, pan-epigenomes, and pan-chromatin (applications open in 2025) Application Portal ALSO ACCEPTING EXPRESSION OF INTEREST FROM INTERNATIONAL APPLICANTS

Organisms are functionally integrated systems, where interactions among phenotypic traits make the whole more than the sum of its parts. How is a suite of traits assembled into an adaptive module? How is an intramodule rewired to form a regulatory network? What is the persistence and stability of a module under exposures to perturbations triggered by altered interactions between the response to disparate environmental conditions or between the responses of multiple traits to the same environment? What constrains modules to vary independently, reflecting the integration and canalization of evolutionary trajectories? In this project, we utilize a compilation of pan-genomes, pan-transcriptome, pan-epigenomes, and pan-chromatin resources of Arabidopsis thaliana to uncover how dimensionality, modularity, and integration are organized at different omics levels including genetic polymorphisms, structural variants, RNA isoforms, expression abundance, epigenetic imprinting, and chromatin accessibility. Ultimately, we apply such functional elements to multivariate genomic selection, in the hope of enhancing multilayered omics-enabled prediction.

Dr. Guoquan Liu has more than ten years experience in sorghum tissue culture and genetic transformation. He developed a highly efficient sorghum particle transformation system in 2012. Since then, hundreds of transgenic plants have been regenerated from tens of constructs that are invoved in plant disease resistant genes (e.g. Lr34), report gene (gfp), specific-promoters (e.g. alpha- beta- kafirin, A2, LSG), G proteins etc.. He has trained many students how to transform sorghum including honor students, master students, and PhD students.

He has focused on improving sorghum grain yield and grain quality through biotechnologies including genetic transformation, genome-editing, synthetic biology, and plant apomixis.

Dr Sally Mortlock is a genetic epidemiologist and NECST Research Fellow who leads the Genetic Epidemiology stream at the Australian Women and Girls Health Research (AWaGHR) Centre, University of Queensland. Her research integrates genomics with life course epidemiology to understand how genetic, environmental, and lifestyle factors shape women’s health across the lifespan.

Her work focuses on reproductive and menstrual health, particularly endometriosis and related conditions, with the aim of improving understanding of disease mechanisms, risk, diagnosis, and personalised approaches to care.

Research areas include:

• Genetic epidemiology and reproductive genomics
• Women’s health across the life course
• Endometriosis and reproductive disorders
• Longitudinal cohort studies and life course epidemiology
• Genetic risk prediction and causal inference methods (including Mendelian randomisation)
• Multi-omics and biological pathway analysis

Dr Mortlock previously spent seven years as lead computational biologist within the Genomics of Reproduction Disorders group at the Institute for Molecular Bioscience, contributing to internationally recognised research in reproductive genomics. She now combines this expertise with large-scale longitudinal health data, including genetic resources within the Australian Longitudinal Study on Women’s Health, to investigate women’s health trajectories over time.

Dr Loan Nguyen is an applied genomics researcher focused on discovering genomic insights and translating them into practical tools for sustainable agriculture and livestock production. Her expertise integrates long-read sequencing, genome assembly, transcriptomics, molecular biology, bioinformatics and animal science.

Her pioneering contributions include developing an epigenetic clock for age prediction in cattle, and implementing portable sequencing for livestock traceability in Australia. She applies genomic approaches to address key challenges in agriculture, including genetic improvement, causative variant discovery, low-coverage sequencing, SNP array development and on-farm genomic decision-making.

Dr Nguyen’s achievements have been recognised through a prestigious ARC Industry Fellowship. Her work is advancing applied genomics to improve productivity, traceability, sustainability and food security in Australia and internationally.

Dr Quan Nguyen is a Group Leader at the Institute for Molecular Bioscience (IMB), The University of Queensland, where he leads the Genomics and Machine Learning (GML) Laboratory. His research focuses on understanding pathological processes within tissues to identify biomarkers for early diagnosis, patient stratification, and prediction of treatment response. His work integrates statistical machine learning techniques with advanced genomic technologies, combining single-cell and spatiotemporal sequencing data with tissue imaging to uncover causal links between genotypes and phenotypes across biological scales, from single cell, to tissue microenvironment, organ, multi-organ and population level. By studying cell-cell interactions, his research also contributes to the discovery of novel drug targets and improved understanding of drug mechanisms and toxicity. The GML Laboratory also develops spatiotemporal experimental platforms for large-scale biomarker profiling and validation in preclinical models and patient cohorts.

Dr 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 a National Health and Medical Research Council Leadership Fellow (EL2 2022-2026 and L1 2027-2031). He has authored 86 publications in top-tier journals, like Cell, Nature Genetics, and Nature Method, averaging ~45.5 citations per paper, and led the development of 14 software tools with over 250,000 downloads. His recognised expertise is demonstrated through 14 national/international awards, numerous invited talks (21 international, 42 national), invited grant reviews for funding bodies in nine countries, and active editorial roles for BMC Cancer and Genome Medicine. His commitment to propelling the field forward is evident in leading roles within key consortia and forums and his dedication to organise training workshops and conferences. He has secured over $31 million in grant funding as a chief investigator from national and international funding agencies (e.g., ARC, NHMRC, MRFF, DoD, NCI) and from industry partners, with approximately $11million directly supporting his lab's groundbreaking work.

Professor Nathan Palpant is a cardiovascular scientist whose research integrates human genetics, computational genomics, stem-cell biology and drug discovery to understand the mechanisms of cardiovascular disease and translate these discoveries into new diagnostics and therapies.

His research focuses on why individuals differ in their susceptibility to heart disease, severity of myocardial injury and response to treatment. His laboratory studies inherited and environmental determinants of cardiovascular disease using population-scale genomics, human pluripotent stem-cell models and experimental models of cardiac injury. Major areas of research include myocardial infarction and cardioprotection, heart failure, inherited cardiovascular disease, cardiometabolic disease, complex-disease subtyping and precision medicine.

His research aims to connect fundamental discovery with clinical and commercial translation. His laboratory identified ASIC1a as a therapeutic target for myocardial injury, leading to first-in-class cardioprotective therapeutics now undergoing clinical development through Infensa Bioscience. He has also established Rosella Therapeutics to develop a new class of macrocyclic peptide therapeutics targeting cardiac muscle function to treat heart failure.

His broader research program develops genomic approaches for resolving biological subtypes of complex disease, functional genomics approaches for interpreting rare cardiovascular disease variants, and human stem-cell platforms for understanding genetic and environmental determinants of disease and drug response.

I am a molecular virologist and ARC DECRA Fellow at the School of Chemistry and Molecular Biosciences, where I am Deputy Team Leader of the Infection and Immunity theme. My research focuses on RNA virus evolution, host immunity, and RNA technologies for vaccines and therapeutics, linking four connected themes:

• Virus discovery and evolution: identifying and characterising novel viruses across diverse hosts using metatranscriptomics, phylogenetics, and comparative genomics, with particular focus on orthoflaviviruses and orthomyxoviruses
• Host–virus interactions: understanding how innate immune and RNAi pathways shape infection outcomes in mammalian and arthropod systems
• Reverse genetics: developing CPER-based systems, reporter viruses, and replicons for mechanistic virology and rapid hypothesis testing
• RNA platforms: engineering self-amplifying RNA to tune stability, expression, and immune sensing for vaccines and therapeutics

I completed my PhD (2016–2021) at UQ's School of Biological Sciences under Prof. Sassan Asgari, where I characterised the virome of Aedes mosquitoes and their interactions with the endosymbiont Wolbachia. In 2021, I joined Prof. Alexander Khromykh's RNA Virology Laboratory at SCMB. There, I contributed to the development of the SARS-CoV-2 CPER reverse-genetics system and have worked routinely with PC3 pathogens, including West Nile virus, Japanese encephalitis virus, and SARS-CoV-2. In 2026, I commenced an ARC DECRA Fellowship to investigate how modified nucleotides shape RNA structure, immune sensing, and function in next-generation RNA technologies. My current work is funded by the ARC and NHMRC.

I provide bioinformatics and phylogenetics support within UQ and internationally, and welcome collaborations involving small RNA analysis, virus discovery and metatranscriptomics.

I served on the organising committee of MicroSeq (2023–2025), an Australasian conference promoting microbial sequencing research by early-career researchers. I am the Communications Officer for ASM Queensland (2024–) and an incoming Committee of Management member for the Australasian Virology Society (2026–).

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, and subsequently two consecutive National Heart Foundation Future Leader Fellowships, establishing the Genomics in Health lab in 2023.

Recognition:

2025 UQ Research Culture Award for Advancing Inclusive Research Environments

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

Dr Shapter's background was originally in Agricultural Science and higher education which evolved to the completion of her PhD in molecular genetics in 2008. Prior to her current appointments she was the senior researcher on ARC linkage, Australian Flora Foundation and RIRDC research grants looking at the genetic foundations of domestication and adaptation in Australian native grasses. She supervised two HDR students and has a strong publication record in this field. Her research interests centre on identifying and developing practical applications for gene sequencing. Fran is passionate about teaching and has worked as a facilitator commercially and trained early career researchers and PhD candidates in Project Management, IP and commercialisation and Leadership. She was a participant in the 2020 summit and was appointed to the federal advisory Rural R&D Council in 2009. Dr Shapter was also a sitting member of the Office of the Gene Technology Regulator's Ethics and Community Consultative Committee, 2016-2020.

Fran began tutoring at the UQ School of Veterinary Science in 2011, in large animal production, parasitology and microbiology. Since then she has held a variety of teaching, research and professional roles based around project management, curriculum design and blended learning design. She was the project manager for a Scholarship of Teaching and Learning (SoTL) grant which developed 40 vertically and horizontally integrated, online, adaptive tutorials for veterinary science students and was co-author on the manual developed by this project. She assisted with the development of a new flexible delivery laboratory animal science course in 2015 and delivers 5 weeks of online learning units into this course currently. She has been part of the SoTL research and evaluation associated with both these projects and has reported outcomes at University showcases annually since 2016.

In 2017 Fran became the new Student Clinical Skills Hub Coordinator, a purpose-built, state-of-the-art self-directed learning facility for students of veterinary science. Whilst undertaking this role student usage, resource availability and online support for the Hub has increased more than tenfold. Fran's aim is to provide a safe, authentic, self-directed learning environment where students can practice their clinical skills in accordance with individual competences, beyond the scheduled contact hours of their programs and further enhance their capacity for self-directed, lifelong learning whilst acknowledging the vast array of qualifications, previous training, life experience and cultural backgrounds each student brings with them to the Hub.In 2020 Fran recieved a UQ Teaching Excellence Award due to the demonstarted impact of the SVS Student Clinical Skills Hub.

In 2019 Fran was appointed as a Lecturer in Veterinary Science, while continuing her role as the Hub's coordinator. She continues to maintain her teaching roles into the veterinary program in animal handling, animal production, reproduction, microbiology, parasitology and plant identification. Fran has an additional role in the School with regard to asissting with the design, development and integration of blended learning resources, after working with the Science faculties blended learning design team in 2018. However her SoTL portfolio is best showcased by the development of the online learning community and training resources she has developed for the Student Clinical Skills Hub. As of June 2021, Fran has also taken on the role of the School of Veterinary Science Honours Program Coordinator.

RESEARCH INTERESTS Fire Ecology, Restoration Ecology, Ecological Genomics, Wildlife Science, Conservation Biology, Invasive Plants

My research group studies fire ecology and conservation biology. Currently, we are working on:

• Using fire to benefit plant biodiversity and manage invasive plants
• Predicting effects of changing fire regimes on plant-animal interactions
• Native grassland restoration
• Biodiversity in agricultural landscapes

We have a special interest in plants and animals living in fire-prone areas because of the fascinating fact that these ecosystems are never static but continually re-shaped by cycles of fire and regeneration. While being grounded in fundamental biology and ecological theory, our research is always aimed at improving knowledge for biodiversity conservation. Our work has applications in fire management, biological invasion and threatened species conservation.

TECHNICAL APPROACHES: POPULATION GENETICS | SPATIAL LANDSCAPE GENETICS | DEMOGRAPHIC SIMULATION MODELLING | STATISTICAL MODELLING OF POPULATIONS & COMMUNITIES | BIOINFORMATICS | SPATIAL ANALYSIS IN R | We also know how to drop a hand-made 1 x 1 m polypipe quadrat on the ground and do good old-fashioned field work.

TEACHING: I teach ecology, wildlife science and environmental science at UQ. My teaching and coordination activities have included Elements of Ecology (AGRC1032), Wildlife Technology (ANIM3018) and People Fire & Environment (ENVM3215 / ENMV7530).

EDITORIAL I am Associate Editor for Wildlife Letters (2023–)

I was Associate Editor for Journal of Applied Ecology for four years (2018–2022).

CURRICULUM VITAE

• 2019 – current Lecturer, University of Queensland
• 2018 – 2022 Associate Editor, Journal of Applied Ecology
• 2018 – 2019 Marie Skłodowska-Curie Research Fellow, Trinity College Dublin
• 2016 – 2017 Post-doctoral Research Fellow, Trinity College Dublin
• 2015 – 2016 Post-doctoral Research Assistant, University of Melbourne
• 2015 – 2016 Self-employed Consultant Ecologist, Canberra
• 2012 – 2014 Post-doctoral Research Fellow, Australian National University

EDUCATION

2012 PhD in Ecology, Australian National University

2006 BSc in Biodiversity Conservation Honours, Flinders University

2005 BSc in Biodiversity Conservation, Flinders University

My research interests are at the intersection of plant developmental genetics, functional genomics, and molecular and systems biology, following my doctoral and postdoctoral training in the USA. The research effort in my group is focused on harnessing transformative genomics technology to understand the genetics of plant development, and to discover regulatory mechanisms coordinating plant growth and development. We utilize a variety of plant species in our research, from the model plant organism Arabidopsis to grain and horticultural crops like wheat, mango, avocado and macadamia. We employ a range of techniques based on high throughout DNA sequencing to explore gene expression, chromatin accessibility and chromatin modifications from single cell to whole plant levels, bioinformatics and computational biology tools to infer genetic components of gene regulatory networks, as well as gene editing technology to evaluate phenotypic consequences of perturbations in gene regulatory networks.

I have a keen interest in the evolutionary relationships that underpin symbioses, particularly those involved in plant disease. There are countless examples of how diseases have impacted different crops throughout history, and this is an ongoing issue that deleteriously impacts food security. My research involves developing a better understanding of the epidemiology of plant diseases and pests, and delivering improved diagnostics and field management. Working with collaborators and international experts, my work involves research on a broad range of plants that are affected by bacteria, fungi, oomycetes, viruses, nematodes and arthropod pests. I have a strong interest in the biotic factors that govern soil health and the methods by which we can promote the development of beneficial microbial communities.

Dr Jian Zeng is a statistical geneticist, NHMRC Emerging Leadership Fellow and Group Leader at the Institute for Molecular Bioscience, The University of Queensland. His research uses large-scale genomic data to understand the genetic basis of complex traits and diseases, improve polygenic risk prediction, and identify the genes, cell types and biological processes through which genetic risk acts.

His group develops statistical methods and software tools across four interconnected areas:

• genetic architecture and evolutionary signatures of complex traits;
• polygenic prediction within and across diverse populations;
• fine-mapping of causal genetic variants and genes;
• integration of human genetics with functional and single-cell genomics.

This work addresses major challenges in statistical genetics and precision medicine, including the analysis of whole-genome sequencing data, the reduced accuracy of genetic prediction in underrepresented populations, and the biological interpretation of disease-associated variants. His methods are translated into accessible software used by researchers internationally and are applied to psychiatric, neurological, metabolic and other complex diseases.

Dr Zeng received the IMB Impact Award for Enabling Technology and Method Development in 2021 and the UQ Foundation Research Excellence Award in 2025.