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Statistics and data science: finding needles in multiple haystacks

Data Science Research Talk
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by visiting professor Samuel Müller

Abstract

Powerful data science and statistics methods reveal through modern visualisation, machine learning and classification techniques more information on complex data than ever before. In this talk I share insights from recent projects where statistics makes a difference in personalised medicine and neuroscience, in particular to predict complex disease outcomes. The presentation concludes by showing powerful visualisation tools made available in the R software package, mplot, to understand more deeply how and what features are important to explain disease and other outcomes in regression type models.

Bio

Samuel Müller is a Professor of Statistics with expertise in variable selection and inference for statistically challenging data. He is currently enjoying a sabbatical semester and will then resume being the Associate Dean Research Education in the Faculty of Science at the University of Sydney. Samuel is a Theory and Methods Editor for the Australian and New Zealand Journal of Statistics, a Member of the ARC College of Experts and a 2019 Fellow of the American Statistical Association.

Link to presentation

The presentation (in pdf) was made available by Samuel Müller via Dropbox.

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