Dr Daniel Liang-Dar Hwang is a genetic epidemiologist and statistical geneticist by training. His research interests include sensory nutrition, causal modelling, and personalized nutrition. Dr Hwang applies statistical models to big data to understand genetic and environmental factors contributing to individual differences in taste and olfactory perception and their relationship with dietary behaviour and chronic conditions (See his research on taste perception in The Conversation). He develops methods for increasing statistical power for gene discovery, estimating intergenerational causal relationships, and personalized intervention. He also works with clinicians to investigate impaired chemosensory perception in cancer patients and COVID-19.

Daniel has a B.Sc from the National Taiwan University, majoring in Biochemical Science and Technology, and an M.Biotech from the University of Pennsylvania. Following graduation, he worked as a research technician in Danielle Reed's lab at the Monell Chemical Senses Center, where he first developed a keen interest in genetics and chemosensory perception. Later, he was awarded scholarships to complete an M.Sc in Nutrition at the University of Washington, under the supervision of Glen Duncan, and a PhD in Genetic Epidemiology at the QIMR Berghofer Medical Research Institute, under the supervision of Nicholas Martin and Margaret Wright. He then joined David Evans's group as a postdoc at the University of Queensland Diamantina Institute (now the Frazer Institute). Dr Hwang is an ARC DECRA Fellow at the Institute for Molecular Bioscience. He is also an Affiliated Scientist at the Monell Chemical Senses Center.

Dr Hwang has published more than 50 peer-reviewed publications. His work has been referred to in international health policy guidelines and a WHO report for the intervention of childhood obesity and in a global patent for personalized wine selection. He is on the editorial boards of BMC Medicine and Twin Research and Human Genetics. Dr Hwang is a Leadership Team member of the Global Consortium for Chemosensory Research, a global initiative to understand the relationship between smell loss and COVID-19 and foster the advancement of chemosensory science. He currently drives an international collaborative project to investigate the impact of COVID-19 vaccinations on long-COVID symptoms. Dr Hwang is a member of the National Committee for Nutrition of the Australian Academy of Science. He contributes to implementing the decadal plan for the science of nutrition in Australia.

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.

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 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.