Workshop: Introduction to statistical analysis of metabolomics data



Introduction to statistical analysis of metabolomics data


Dr Alysha De Livera, Biostatistician, the Centre for Epidemiology and Biostatistics, The University of Melbourne

Dr De Livera (PhD, Statistics) has academic background and professional experience in statistics, biostatistics and bioinformatics. She contributes her statistical expertise to a wide range of problems in medicine, epidemiology and biology, while working on practical statistical approaches and software to handle statistical issues that are motivated by these studies. Her recent methodological interests have focused on statistical methods for identifying biomarkers in large-scale omics data, in particular methods for handling unwanted variation and missing values in metabolomics studies. Dr De Livera actively engages in teaching courses in biostatistics, supervising postgraduate students and providing statistical consulting.  

Introduction to statistical analysis of metabolomics data


Dr Kaushala Jayawardana, postdoctoral bioinformatician, Metabolomics Laboratory, Baker Institute

Kaushala Jayawardana is a postdoctoral bioinformatician in the Metabolomics Laboratory at the Baker Institute. She was awarded a PhD in Statistics from The Sydney University in 2016, where she studied the integration of multiple high-throughput datasets and clinical data. The title of her thesis is Prognostic methods for integrating data from complex diseases. She joined the Baker Institute in June 2016 and has been working on statistical methods for analysing clinical and lipidomic data.

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