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- Hana Starobova talks combating cancer pain and why we shouldn't be afraid of failure.
She will travel to Antarctica later this year as part of Homeward Bound, a year-long leadership program to empower women in STEMM to change the world. To support Hana's journey, please visit https://chuffed.org/project/empowerwomeninstemm - Higher degree by research (PhD) studentInstitute for Molecular Bioscience
- 5 Jun 2025Please join us for the June session of the IMB Lecture Series featuring Professor Marc Pellegrini.
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Evans Group
Group Leader
Professor David Evans
Researcher profile is public:1Supervisor:Researcher biography:David Evans is an NHMRC Leadership Fellow and Professor of Statistical Genetics at the University of Queensland Institute for Molecular Bioscience. He is a winner of the NHMRC Marshall and Warren Award.
He completed his PhD in Statistical Genetics at the University of Queensland in 2003, before undertaking a four-year post-doctoral fellowship at the Wellcome Trust Centre for Human Genetics, University of Oxford where he worked as part of the The International HapMap Consortium and co-led the analysis of four diseases within the first Wellcome Trust Case Control Consortium. In 2007 he moved to take up a Senior Lecturer position at the University of Bristol where he led much of the genome-wide association studies work in the Avon Longitudinal Study of Parents and Children (ALSPAC). In 2013 he returned to take up a chair at the University of Queensland whilst continuing to lead an MRC Programme in statistical genetics at the University of Bristol.
His research interests include the genetic mapping of complex traits and diseases (including birthweight and other perinatal traits, osteoporosis, ankylosing spondylitis, sepsis, laterality) and the development of statistical methodologies in genetic epidemiology including approaches for gene mapping, individual risk prediction, causal modelling and dissecting the genetic architecture of complex traits. He has a particular interest in Mendelian randomization and has used it and other causal methods to investigate the Developmental Origins of Health and Disease (DOHaD)- the idea that adverse intrauterine exposures lead to increased risk of disease in later life.
He is Academic Codirector at the NIH funded International Workshop on Statistical Genetics Methods and is faculty on the European Programme in Educational Epidemiology.
He is Associate Editor at the International Journal of Epidemiology and Behavior Genetics journals.
Researchers
Ms Caroline Brito Nunes
Casual Research AssistantInstitute for Molecular BioscienceResearcher profile is public:0Supervisor:Dr Alesha Hatton
Postdoctoral Research FellowInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Researcher biography:Alesha Hatton is a postdoctoral research fellow specializing in statistical genetics and genetic epidemiology at the Institute for Molecular Bioscience, University of Queensland. Currently, her research focuses on understanding the genetic and environmental aetiology underlying complex traits through use of Mendelian randomization and statistical genetics methodologies. Her PhD was in systems genomics, applying quantitative genetics methods to investigate the role of DNA methylation in complex trait variation. Alesha has a bachelor's degree in medical mathematics from the University of Wollongong (2016) and previously was employed as a statistician at the South Australian health and Medical Research Institute.
Visiting Researchers
Dr Tom Bond
Visiting ResearcherInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Dr Gabriel Cuellar-Partida
Visiting ResearcherInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Students
Mr Giulio Centorame
PhD studentInstitute for Molecular BioscienceResearcher profile is public:0Supervisor:Ms Caitlin Decina
PhD studentInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Ms Shannon D’Urso
PhD studentInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Ms Emily Daubney
PhD studentInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Ms Kaitlyn Flynn
PhD studentInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Mr Mischa Lundberg
PhD studentInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Miss Alice Schulz
PhD studentInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Dr Geng Wang
Postdoctoral Research FellowInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Researcher biography:Dr. Geng Wang is a postdoctoral research fellow specializing in statistical genetics and genetic epidemiology at the Institute for Molecular Bioscience, University of Queensland. His research focuses on the developmental origins of health and diseases, causal inference in genetic epidemiology, genetic susceptibility of complex traits and diseases, and the advancement of statistical genetics methodologies. Proficient in bioinformatics, statistical genetics, and clinical research, he has a background in clinical medicine and the biotechnology industry.
Dr. Wang obtained his bachelor's degree in clinical medicine and master's degree in internal medicine from Second Military Medical University (Shanghai, China) in 2012 and 2016, respectively. He served as a resident physician at Changzheng Hospital, affiliated with Second Military Medical University, from 2016 to 2017, specialising in rheumatology, before being promoted to an attending doctor. During his time in Shanghai, he was invited to visit the Translational Research Institute (Australia) twice in 2016 and 2017 for bioinformatics training and collaborative research.
Driven by his growing interest in human genetics, Dr. Wang pursued a Ph.D. in statistical genetics with Professor David Evans at the University of Queensland, which he successfully completed in 2023. Since then, he has continued his research in the aforementioned areas, contributing to the field with his diverse background and expertise.
Montgomery Group
Group Leader
Professor Grant Montgomery
Director, UQ Genome Innovation HubEmeritus Professor & Centre Director of Institute for Molecular BioscienceInstitute for Molecular BioscienceResearcher profile is public:0Supervisor:Body:Highlights
Professor Grant Montgomery uses genetic approaches to discover critical genes and pathways increasing risk for reproductive disorders. He applies state of the art genomic techniques to identify risk factors and understand how these genetic differences regulate gene expression and epigenetics to alter disease risk. The goal is to understand disease biology and help develop better methods for diagnosis and treatment.
A major focus is women’s health and the pathogenesis of endometriosis. Together with colleagues in Brisbane, he led a recent large international study on genetic risk factors for endometriosis which confirmed 14 regions of the genome are associated with the disease, including 5 novel regions. His research is now moving to functional studies to identify the target genes in each region and determine how changes in the regulation of these genes contribute to disease. Professor Montgomery has published the first examples of likely target genes for two regions.
He is also using genomic approaches to help understand environmental risk factors for this disease. Environmental risk factors may leave epigenetic signals on DNA that are associated with disease and he is part of an international study on global methylation analysis in endometriosis.
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Researchers
Dr Brett McKinnon
Senior Research FellowInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:Researcher biography:I am a basic science researcher with training in cell biology, genetics and research translation. My research investigates the female reproductive system by focusing on the contribution of individual cells. I aim to understand the influence of genetic architecture, differentiation and maturation on these individual cells and how this contributes to changes in the microenvironment that can contribute to disease initiation and progression.
After the completion of my PhD in 2008 at the University of Queensland, I undertook post-doctoral studies at the University of Bern, Department of Biomedical Research (DBMR), focusing on endometriosis, ovarian and endometrial cancer. I curated patient samples from clinical research trials to investigate inflammatory and metabolic components of reproductive tissue and disease and began developing patient-derived models of the endometrium. I established a relationship between endometriosis lesions, nerves and pain and how this interaction was mediated by inflammation. I further developed patient-derived in vitro models to understand the interaction between inflammation and hormonal response of endometriotic lesions and how this could be utilized to target current and novel treatments. On returning to Australia in 2016 I joined the Genomics of Reproductive Disorders laboratory to integrate genetic background into patient-derived in vitro models. I established the Endometriosis Research Queensland Study (ERQS) in collaboration with the Royal Brisbane and Women's Hospital (RBWH) and extended in vitro models into complex multi-cellular assembloids (combinations of organoids and surrounding stromal cells).
Mr Sharat Atluri
Researcher profile is public:0Supervisor:Dr Sam Lukowski
Honorary Senior FellowInstitute for Molecular BioscienceResearcher profile is public:0Supervisor:Students
Mr Isaac Kyei Barffour
Researcher profile is public:0Supervisor:Miss Isabelle McGrath
PhD studentInstitute for Molecular BioscienceResearcher profile is public:0Supervisor:Miss Li Ying Thong
PhD studentInstitute for Molecular BioscienceResearcher profile is public:0Supervisor:Mr Kei Tanaka
PhD studentInstitute for Molecular BioscienceResearcher profile is public:1Supervisor:
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The Edge: Genetics
People have known for thousands of years that parents pass traits to their children, but it is only relatively recently that our technology has caught up to our curiosity, enabling us to delve into the mystery of how this inheritance occurs, and the implications for predicting, preventing and treating disease.
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