Dr Emi Tanaka

Website @statsgen

Biographical details

Emi is an applied statistician whose research interest is in developing high impact statistical methods and useful, easy-to-use tools for application in bioinformatics, biometrics and biology with a particular focus on agriculture. She enjoys working in a collaborative environment with people from diverse backgrounds, with an aim to enhance knowledge and understanding of the real world data.

Emi received her PhD in Statistics at the University of Sydney focussing on statistical methods for the analysis of DNA sequence motifs. She then worked within the Statistics for Australian Grains Industry group at the University of Wollongong providing specialist statistical inputs to various agricultural experiments.

Emi recently joined the Statistics Research Group at School of Mathematics and Statistics in the University of Sydney.

Research interests

Emi's current research interests are:

  • linear mixed models - in particular with application in agriculture
  • factor analytic models
  • statistical computing - in particular with speeding up parameter estimation in linear mixed models
  • experimental design
  • statistical genetics and genomics

Teaching and supervision


  • Luke Mazur (PhD) Computational methods for analysis of big data - linear mixed models with application in genomics

Past students

  • Nicole Cocks (Honours) Improving the computational efficiency of model-based design with an application to the design of multiphase experiments
  • Nicole Cocks (Summer) Statistical protocols for late maturity alpha-amylase in wheat
  • Lauren Borg (Honours) On spatial model selection for phenotypic experiments in plant improvement programs
  • Lauren Borg (Summer) On the design and analysis of early stage plant breeding selection experiments
  • Safee Azam (Project) On the accuracy of the delta method for functions of REML estimates of variance parameters

Contact me if you are interested in a project with statistical application and methodology in agriculture or in more general, a project with statistical modelling (not limited to any discipline).


I co-teach STAT3012 (Applied Linear Models) and STAT5002 (Introduction to Statistics) in Semester 1 (March-June).



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