Dr Kemper is a senior post-doctoral fellow in quantitative genetics at the Institute for Molecular Bioscience (IMB) at the University of Queensland (UQ). Her research involves understanding the sources of variation in human populations for traits such as height and body mass index (BMI).
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Alesha recently completed her PhD investigating the trans-ancestral genetic control of DNA methylation. She holds a Bachelor of Medical Mathematics (Hons) from the University of Wollongong and was previously employed as a statistician at the South Australian Health and Medical Research Institute.
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Fleur Garton is the Scott Sullivan Research Fellow with a special interest in Motor Neuron Disease. She is a molecular geneticist with experience in the analysis of genetic and genomic data. Garton will provide detailed insight into variant calling, filtering, functional and clinical annotation in a human health/disease context.
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Dr Zhihong Zhu is a statistical geneticist and a Senior Researcher at the National Centre for Register-based Research, Aarhus University, Denmark. He is a visiting scientist at the Institute for Molecular Bioscience, UQ. His research aims to provide insight into the biology and the determinants of human complex diseases. His current research focuses on the development of statistical methodologies to integrate large multi-omics datasets (including gene expression and protein abundance data) and to incorporate multilayer risk factors in response to exposure to environmental factors. He applies these techniques to the study of psychiatric disorders and risk factors (including both genetic and environmental factors).
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Dr Daniel Hwang is a Research Fellow at the Institute for Molecular Bioscience at The University of Queensland. He develops and applies statistical methods to large-scale high-dimensional data to understand the genetic and molecular mechanisms underlying human complex traits and to distinguish causal relationships from observational associations. His research interests lie in human perception of taste and smell, dietary behaviours, and their related disorders, such as the loss of smell in COVID-19.
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Dr Gunn-Helen Moen was awarded her PhD on the "Genetic and environmental etiology of glucose metabolism and cardiometabolic traits during pregnancy and in later life" in 2019 from the Faculty of Medicine at the University of Oslo. After finishing her PhD she was awarded a Mobility/Marie Sklodowska-Curie Fellowship from the Research Council of Norway and as part of that fellowship spent two years as a visiting academic at the University of Queensland. She is currently an ARC DECRA fellow at IMB. Her research focus is on using Mendelian randomization to investigate intergenerational effects.
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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). 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.
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A/P Loic Yengo is a statistical geneticist and group leader of the Statistical Genomics Laboratory. Yengo joined the University of Queensland in 2016 with a research background in applied mathematics, statistics, and molecular epidemiology. His current research focuses on understanding the genetic and phenotypic consequences of non-random mating (inbreeding and assortative mating) in human populations, and on developing analytical methods for multi-ancestry genome-wide association studies (GWAS).
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A/P 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 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 or neuronal ecosystem. Particularly, he is interested in quantifying cellular diversity and the dynamics of cell-cell interactions within undissociated tissue samples to find new gene and cell targets that can be used to improve cancer diagnosis, prognosis, and treatments.
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Dr Xiao Tan is a postdoctoral researcher in the Genomics and Machine Learning lab (GML), Institute for Molecular Bioscience (IMB), The University of Queensland (UQ). His research interest is about modelling the molecular and morphological changing for cells in the tissue context. Particularly, his research focuses on deep learning based integration of multi-modal tissue imaging and sequencing data for predicting cell states and molecular profile in cancer.
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Mr. Onkar Mulay is the Ph.D. student in the Genomics and Machine Learning lab, Institute for Molecular Bioscience (IMB), The University of Queensland. He graduated from UQ with a master degree in engineering, followed by a year of work as a bioinformatician prior to his PhD. His research focuses on the machine learning analyses of spatial and single-cell omics data.
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Dr Flatley is a genetic and clinical epidemiologist at IMB. After completing his PhD in 2018 at the University of Queensland he undertook a post-doctoral position at the Folkehelseinstituttet in Norway to co-lead author on the first GWAS on placental weight. His research focuses on perinatal and early life growth genetics and their influence on cardio-metabolic outcomes.
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Dr Geng Wang is a research fellow at the Institute for Molecular Bioscience at the University of Queensland. His current research interests include the developmental origins of health and diseases, the application of biometrical genetics approaches to large-scale datasets, and the refinement of statistical genetics methodologies.
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Dr Tian Lin received her PhD in Plant Biology at the Iowa State University in 2014. She joined the Program in Complex Trait Genomics (PCTG) at UQ in 2017 as a research assistant. Tian is experienced in processing GWAS data, MWAS data, RNA sequencing data, whole genome sequencing data, and low pass sequencing data. Her research focuses on developing pipelines for genetic risk prediction. She also provides support to colleagues in genetic and genomics data sharing, processing and visualization.
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Dr Sonia Shah leads the Genomics in Health Group at the Institute for Molecular Bioscience. She is a National Heart Foundation Future Leader Fellow with a research focus on pharmacogenomics and using genomic data to improve understanding, prevention and treatment of cardiovascular disease.
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Dr Clara Jiang is a post-doctoral research fellow at the Institute for Molecular Bioscience, the University of Queensland. Dr Jiang research focuses on using genomic and transcriptomic analysis to explore potential opportunities for drug repurposing, as well as using statistical genomic approaches to investigate the sex differences in cardiovascular diseases.
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Dr Gagandeep Singh is a Postdoctoral researcher at the Institute for Molecular Bioscience (IMB), University of Queensland (UQ), St. Lucia. His research focus is to identify the signature genes associated with diseases from different ancestries to develop Drug repurposing pipeline by exploring various datasets (Genomics and transcriptomics).
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