Statistics at Melbourne

Statistics is the science of collecting, organising and interpreting data. Mathematical descriptions of the data collection processes and the statistical analysis are used to determine accurate statistical methods.

The Statistics group is interested in the application of statistical theory in a rich variety of contexts, including:

Biostatistical issues such as meta-analysis and survival analysis
Food science statistics such as measuring and describing the quality of consumables
Environmental applications including population modelling
Group testing
Drug testing in sport
Bioinformatics
Sample surveys.

The group's link with the Statistical Consulting Centre means that there are research opportunities arising from real-world applications that are readily available.

Latest news

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Academic staff

Data Science, Mathematical Biology, Statistics

howard.bondell@unimelb.edu.au +61 3 834 40169

Research Fellow

Imke.Botha@unimelb.edu.au

yaoban@unimelb.edu.au +61 3 834 48820

Research Fellow

changxiong.chi@unimelb.edu.au

Statistics

tingjin.chu@unimelb.edu.au +61 3 834 44248

Statistics

sjclarke@unimelb.edu.au +61 3 834 46797

Statistics

aurored@unimelb.edu.au +61 3 834 49731

Statistics

sfinch@unimelb.edu.au +61 3 834 46994

High-dimensional statistics, Machine Learning, Network analysis

ian.gallagher@unimelb.edu.au

Causal Reasoning, Computer Vision, Machine Learning

mingming.gong@unimelb.edu.au +61 3 834 49211

Applied statistics

irg@unimelb.edu.au +61 3 834 47993

Statistics

hepworth@unimelb.edu.au +61 3 834 44796

Research Fellow
Bioinformatics, Machine Learning, Statistics

david.hirst@unimelb.edu.au

lhodgkinson@unimelb.edu.au

Causal Inference, Functional data, Measurement Errors

wei.huang@unimelb.edu.au +61 3 834 42438

Harmonic Analysis and Group & Representation Theory, Orthogonal functions and polynomials, Quantum Chaos, Quantum field theory, Quantum Information Theory, Random Matrix Theory, Supersymmetry & Graded Algebras, Telecommunications systems, Time Series

m.kieburg@unimelb.edu.au +61 3 834 47419

Research Fellow
Information Geometry, Machine Learning, Statistics

MasanariKimura.Jinguji@unimelb.edu.au

Copulas, Multivariate extremes, Nonparametric Statistics

pavel.krupskiy@unimelb.edu.au +61 3 834 48429

Biological data integration, Computational statistics, Multivariate projection-based methods, R software development

kimanh.lecao@unimelb.edu.au +61 3 834 43971

Statistical genetics, Systems Biology

stephen.leslie@unimelb.edu.au

Asymptotic statistics, Hypothesis testing methodology

dennis.leung@unimelb.edu.au +61 3 9035 4204

rjmail@unimelb.edu.au +61 3 834 48051

Climate research, Data Science, Statistics

patricia.menendez@unimelb.edu.au +61 3 903 53579

Statistics

aoshlack@unimelb.edu.au

Statistics

cameron.patrick@unimelb.edu.au +61 3 834 45295

Research Fellow
Bayesian Statistics, Spatial statistics

alan.pearse@unimelb.edu.au

liuhua.peng@unimelb.edu.au +61 3 834 46412

qguoqi@unimelb.edu.au +61 3 834 44899

Biosecurity, Environmental and Ecological Statistics, Forest Biometrics

apro@unimelb.edu.au 8344 6410

Machine Learning, Signal and Image Processing, Statistics

abd-krim.seghouane@unimelb.edu.au

Applied statistics, Bayesian Statistics, Computational biology, Data Science, Machine Learning, Statistical Genomics, Stochastic Processes

heejung.shim@unimelb.edu.au +61 3 834 45843

Applied Statistics, Data Science, Data Science

jeremy.silver@unimelb.edu.au

Research Fellow

yiwen.wang@unimelb.edu.au

Bayesian inference, High-dimensional statistics, Machine learning in medicine

weichang.yu@unimelb.edu.au

Graduate researchers

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Honorary staff

Professorial Fellow (Associate)

Statistics seminars

You can find an archive of selected past seminars on the University events calendar.

Coordinators

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Upcoming seminars

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