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.

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, Mendelian randomization, the 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. 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, Mendelian randomization, the 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.

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.