Melbourne school of Population and Global health

Agus Salim

Associate Professor in Biostatistics


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Welcome to the Salim Lab at the University of Melbourne!

My lab focuses on the development of Analytical Methods for Modern Biomedical Data and Techonologies. Modern biomedical data and technology offers unprecedented opportunities for discoveries but also presents novel methodological and computational challenges for data preprocessing, visualisation, analyses and interpretation. We collaborate with leading researchers in the field to address these challenges. Some of the recent methods we developed include normalization and differential expression methods for single-cell RNA-seq data and cost-effective detection of sedentary behaviour using wrist-worn fitbit watch.

We welcome inquiry from self-motivated students with strong background in statistics and/or computer science who are passionate about developing analytical methods to solve current challenges in modern biological and medical Big Data, especially single-cell omics, physical activity trackers and continuous glucoce monitoring data. Knowledge about specific biological/medical application is not compulsory and can be learnt through additional courseworks or 'on the job'.

Potential graduate research students should email Agus Salim for discussion (including potential for scholarship) and familiarise themselves with University of Melbourne's requirement, prior to applying.