Modern biomedical research is generating vast amounts of data from the same biological samples across multiple molecular layers, including genomics, transcriptomics, proteomics, metabolomics and the microbiome. Increasingly, these datasets are complemented by imaging, single-cell and clinical information.While these technologies are transforming our understanding of biology and disease, integrating such diverse, high-dimensional data into meaningful biological and clinical insights remains a major challenge, particularly when working with small sample sizes and the need for biologically interpretable results.In this seminar, Professor Kim-Anh Lê Cao will present statistical frameworks developed to address these challenges using multivariate methods designed for multiple studies, multiple data types and longitudinal research. Through a series of real-world case studies, she will demonstrate how these approaches enable researchers to uncover robust biological signals from complex datasets.Professor Lê Cao will also discuss the global impact of mixOmics, the open-source software platform developed by her team that is now widely used across academia, industry and clinical research, and how this work has translated into the commercial spin-out mixOmics Pro.This seminar will be of interest to researchers, clinicians, biostatisticians, data scientists and anyone working at the intersection of biomedical research, computational biology and translational medicine.
Speaker
Professor Kim-Anh Lê Cao is Professor of Statistical Genomics at the University of Melbourne and Director of Melbourne Integrative Genomics. An internationally recognised leader in statistical genomics and multi-omics data integration, she has held three consecutive NHMRC Fellowships since 2014 and has received numerous honours for her contributions to statistics in molecular biology, including the prestigious Moran Medal from the Australian Academy of Science.Her research focuses on developing innovative statistical methods for integrating complex biological datasets, enabling researchers to better understand health and disease. She leads the development of mixOmics, one of the world’s most widely used open-source R toolkits for multivariate analysis and multi-omics data integration, now used by researchers across academia, industry and clinical research worldwide.
When: Wednesday 12 August – 12noon light lunch served / 12.30 – 1.30pm Seminar
Where: Brenda M Shanahan Auditorium, ACMD, L1 27 Victoria Pde, Fitzroy
