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.

Dr Nicole Warrington is a NHMRC Emerging Leadership Fellow at the University of Queensland Institute for Molecular Bioscience. She has a strong background in statistical genetics and has been actively working towards understanding the genetic determinants of early life growth. Dr Warrington studied a Bachelor of Science at Victoria University in Wellington, New Zealand, majoring in Mathematical Statistics and Psychology. She then completed an honours degree at The University of Western Australia, where she developed a keen interest for genetics, and was subsequently awarded an Australian Postgraduate Award to complete her PhD in statistical genetics and life-course epidemiology. During her PhD she spent time at the University of Toronto to gain experience in statistical modelling methods for longitudinal growth trajectories and conducted the first genome-wide association study of longitudinal growth trajectories over childhood. After completing her PhD, Dr Warrington started at the University of Queensland and focused on using genetics to inform about the relationship between birth weight and cardio-metabolic diseases in later life. She pioneered a new statistical method to partition genetic effects on birth weight into maternal and fetal components, and combined this method with a causal modelling approach, Mendelian randomization. This method was instrumental in demonstrating the relationship between birth weight and adult hypertension is driven by genetic effects, over-turning 30 years of research into the effects of intrauterine programming. More recently, her research focus has broadened to determine whether rapid weight growth across early life, including fetal development, childhood and adolescence, causally increases risk of cardio-metabolic disease and in doing so, hopes to identify optimal times across the life-course where interventions could reduce the incidence of cardio-metabolic diseases.

Dr M. Rhia L. Stone is an emerging leader in probe design and orthogonal modification of biologically relevant molecules. She obtained her PhD in 2020 from The University of Queensland (UQ), working on synthesis of fluorescent and radiolabelled antibiotics. This was followed by postdoctoral positions at Rutgers, the State University of New Jersey (USA), the ARC Training Centre for Innovation in Biomedical Imaging Technology at UQ and is now based at the Centre for Superbug Solutions at the University of Queensland. Rhia has extensive experience with small molecule, peptide, and protein scaffolds, including rational design, synthesis, and characterisation of novel molecules. In their current position, Rhia utilises synthesis, microbiology and animal imaging, working with a range of interdisciplinary collaborators.

Senior Research Fellow at IMB, University of Queensland in the field of novel antimicrobial discovery, mode of action studies and development. Studying the use of antibiotic-fluorescent probes for detetcing bacterial infections and resistance development.

Previously, a postdoctoral researcher at the Sir William Dunn School of Pathology, University Oxford. Studying dynamics of bacterial cell death during plasmid loss and post segregational killing using single cell approach of microfluidics and fluorescence microscopy.

Strong research professional with a Master of Science (M.Sc.) and Bachelor of Science (Hons) degree in Microbiology from University of Delhi, India and a PhD in Biomedical science and Biochemistry from The Australian National University, Canberra, Australia.

Skilled expertise in Microbiology, Biochemistry, Immunology, Molecular Biology, Cellular Biology, and Bioinformatics.

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.

Solal Chauquet is an early career postdoctoral fellow focused on using genetic and genomics to investigate liver transplantation and liver diseases. He finished a master of Neuroscience at the Université de Bordeaux, a Master in Bioinformatics from the University of Queensland and recently his PhD genomics where he developed a specialized proficiency in the analysis of liver omics data.

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.