Fleur Garton is a researcher focused on improving outcomes for those with a neurological disease. She completed a Bachelor of Applied Science (Hons I) in 2008 at the University of Sydney. Pursing an interest in the molecular basis of skeletal muscle function she completed her honours and PhD at the Institute of Neuroscience and Muscle research at the Children's Hospital Westmead. Fleur spent two-years as post-doctoral researcher at the Murdoch Childrens Research Institute, Melbourne. She was responsible for modelling the effect of gene dosage using rAAV vectors while helping to contribute to studies on human performance and health. In 2016, Fleur moved to work with Professor Naomi Wray at the Program in Complex Trait Genomics team at the University of Queensland. She was awarded a Bill Gole MND Postdoctoral fellowship from MNDRA in 2016, an NHMRC Early Career Researcher Fellowship (2017-2022) and is now the Scott Sullivan MND Research Fellow (2022). Her research program aims to further understand the genetic mechanisms of motor neurone disease (MND/ALS) using novel genomics analyses. This includes investigations into the use of cell-free DNA and other 'omic data to improve diagnosis and treatment. Fleur currently has research projects running at the Royal Brisbane Womens Hospital and the Mater Hospital together with local and international collaborators. Any potential participants or collaborators are encouraged to contact her on email about these projects.

As part of the management executive of the Program in Complex Traits Genomics (PCTG) based at the Institute for Molecular Biosciences (IMB) Anjali is responsible for the day-to-day running of the PCTG, including the coordination of their research activities and strategies, research governance and supervison of their high-through put genomics laboratory. Anjali has over 15 years experience in managing complex, large-scale research programmes and specialises in facilitating and managing interdisciplinary collaborations and consortiums.

Prior to moving to UQ, Anjali was the Senior Project Manager for the Genetic Epidemiology Laboratory at the Queensland Institute for Medical research (QIMR) where she held an integral role in the management of large human research projects collecting biological samples for down stream genomics. Her significant contribution to these projects has been recognised by her inclusion in publications and commentaries.

Valentin was awarded a PhD from the French National Institute of Higher Education in Agricultural Sciences and the University of Montpellier (France) in 2018. His thesis focused on methodological developments for genetic differentiation analysis in the Next Generation Sequencing era in a neutral and adaptive context. Since 2019, he works as a post-doctoral researcher at the University of Queensland in the Program in Complex Trait Genomics group under the supervision of Professor Peter Visscher. His current research focuses on studying the within and between-population genetic variation in human complex traits.

Dr Kemper is a postdoctoral fellow in statistical genetics. She joined UQ in 2016 after obtaining a PhD and postdoctoral experience at the University of Melbourne (2006-2016). Her expertise and research interests span a range of topics in quantitative genetics, including genomic prediction, modelling the epidemiological consequences of genetic change in disease and population genetics. Current research areas include:

• genetic analysis of longitudinal traits
• estimation of non-additive genetic effects
• genomic prediction in admixed populations

Dr Jian Zeng is a statistical geneticist and NHMRC Emerging Leadership Fellow at the Institute for Molecular Bioscience (IMB) at the University of Queensland (UQ). He received his PhD in animal breeding and genetics at Iowa State University and joined the Program in Complex Trait Genomics (PCTG) at UQ in 2016. His research focuses on the development and application of innovative statistical methods for estimating the genetic architecture and evolutionary signals in complex traits, identifying genetic variants, genes and other molecular intermediates associated with phenotype variation, and predicting trait phenotypes using genome sequence data. In 2019, he was awarded an NHMRC Investigator Emerging Leadership Grant to develop statistical methods and software tools for best predict an individual's disease risk using genomic and omics data. He was an invited speaker at the prestigious Gordon Research Conference in 2019.