Visscher joined the University of Queensland in 2011, where he is Professor of Quantitative Genetics. He is a Laureate Fellow of the Australian Research Council. Visscher was elected a Fellow of the Australian Academy of Science in 2010, a Fellow of the Royal Society (London) in 2018 and a Foreign Member of the Royal Netherlands Academy of Arts and Sciences in 2018.

Visscher's research is about genetic variation for complex traits (including quantitative traits and disease) in populations, with the broad aim to understand and quantify the causes and consequences of human trait variation.

Prof Peter Visscher, Prof Naomi Wray and Prof Jian Yang together comprise the Executive Team of the Program in Complex Trait Genomics (PCTG). PCTG comprises a critical mass of more than 30 post-doctoral researchers plus research assistants and students, all supported by external grant funding. Their skills lie in the ability to develop and apply statistical methods within the framework of quantitative, population and statistical genetics and to use theory to understand and predict results from data analyses. They play leading roles in the international research consortia. The focus of current research activities is in the detection and fine-mapping of loci underlying complex traits (including common disease), based upon theoretical studies and applications of methods to large datasets, in population genetics studies using theoretical approaches and high-density genetic marker data, and in systems genomics studies.

Naomi Wray is the Michael Davys Professor in the Department of Psychiatry, University of Oxford. She holds an appointment at the Institute for Molecular Bioscience (IMB) within the University of Queensland. She joined UQ Queensland Brain Institute in 2011 moving to the IMB in 2015. She was Head of the Centre for Population & Disease Genomics within IMB 2018-2023. Her Oxford appointment started in 2023.

Her research focuses on development and application of quantitative genetics and genomics methodologies across complex diseases, disorders and traits, but particularly psychiatric-related traits.

She is a National Health and Medical Research Council (NHMRC) Leadership Fellow, a Fellow of the Australian Academy of Science and a Fellow of the Australian Academy of Health and Medical Science. In 2020 she was awarded the NHMRC Elizabeth Blackburn Award for Leadership in Basic Science and the 2021 International Society of Psychiatric Genetics Ming Tsuang Lifetime Achievement Award. She is a Clarivate Highly Cited researcher.

She was Director of the Program in Complex Trait Genomics (PCTG) funded as an NHMRC Program Grant 2017-2022. She plays a key role in the International Psychiatric Genomics Consortium and established the sporadic ALS Australia systems genomics consortium (SALSA) funded by the MND Research Australia IceBucket Challenge and FightMND. She is a co-investigator on the Australian Genetics of Depression Study (AGDS) and is currently launching the AGDS-Cello project focussed on establishing a cell line resource from participants with a detailed history of anti-depressant use and response measures. She is part of an NHMRC Synergy (2023-2027) "Rhythms and blues: Personalising care for body clock dysfunction in mood disorders".

She is secretary of the International Society of Psychiatric Genetics, and is on the editorial advisory boards of JAMA Psychiatry, Neuron, Royal Society Open and Research Directions: Depression.

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.