主 题: Statistics and data science: seeing the world differently and making a difference
报告人: Associate Professor Samuel Mueller (University of Sydney)
时 间: 2017-11-16 15:00-16:00
地 点: 理科1号楼1364室
Abstract: Powerful data science and statistics methods reveal through modern visualisation, machine learning and classification techniques more information on complex data than ever before. The talk begins by giving two recent examples where statistics makes a difference in personalised medicine, in particular to predict cancer and other 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 statistician with expertise in variable selection and inference for statistically challenging data. He is an Associate Professor in the School of Mathematics and Statistics at the University of Sydney, the Associate Dean Research Education in the Faculty of Science, President of the Australasian Region of the International Biometric Society and a Theory and Methods Editor of the Australian and New Zealand Journal of Statistics.” Samuel Müller’s research is motivated by complex data, including for longitudinal, clustered and correlated univariate and multivariate responses; classification and improved prediction methods for multiplatform data in but not limited to omics data. He investigates theoretical properties of regularization methods in various asymptotic scenarios and improves these methods by learning from resampling-based stability information. He develops advanced model visualisation methods to enable interactive and dynamic model building, investigates robust selection and estimation methods in regression type models, and devises statistical methods for the analysis of multi-layered and structured data in bioinformatics, microbiome and neuroscience applications.
Seminar: 30 mins to discuss his research and data science and 30 mins to discuss what it is like studying at the University of Sydney.
