From benchtop to bedside: advancing multi-omics statistical methods for precision medicine
June 2 @ 1:00 pm – 2:00 pm
Statistical Bioinformatics Seminar
Andy Tran, University of Sydney
This event is being held in person and online.
In person venue: Lecture theatre 173, Carslaw Building
Zoom link: https://uni-sydney.zoom.us/j/85114748391
Recent advancements in biotechnology allow scientists to analyse biological samples at an unprecedented scale. This holds great promise for precision medicine by improving our understanding of diseases and developing new diagnostic tools. However, drawing meaningful insights from this complex data demands bespoke statistical methods, tailored to the data and context. In particular, there is a lack of statistical tools that effectively use different data types for a clinical application. This talk introduces a workflow to compare lipid profiles and genetic profiles between humans and chimpanzees, bringing insights into the evolutionary factors contributing to susceptibility to coronary artery disease. We also describe a framework to construct and optimise multi-platform clinical pathways, and how this can be used to improve fairness in clinical decision-making.
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Andy Tran
Andy completed his undergraduate degree in pure mathematics and statistics at the University of Sydney in 2019. He then completed his MPhil in 2021, under the supervision of A/Prof John Ormerod, on statistical modelling of cell reprogramming. He submitted his PhD thesis in December 2024, under the supervision of Prof Jean Yang, which focused on translational bioinformatics for precision medicine. Andy is currently an education-focused lecturer in the School of Mathematics and Statistics at the University of Sydney.