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One of the major opportunities – and challenges – facing statisticians and data scientists is the diversity of new data sources. These data motivate an expansion of traditional approaches to statistical modelling and encourage new lines of analysis. In this presentation, I will discuss some of our adventures in analyzing and integrating data derived from virtual reality, thermal imagery, satellites and crowdsourcing, primarily in the context of conservation.
Dr Mengersen is a Distinguished Professor of Statistics, Director of the QUT Centre for Data Science and Deputy Director of the ARC Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS). Her research interests include Bayesian methods, dealing with diverse and high-dimensional data, and the interface between statistics and machine learning, with applications in a range of areas including genetic and genomic modelling and analysis.
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