Dr. Emi Tanaka is an applied statistician whose primary interest is to develop impactful methods and tools that can be readily used by practitioners. Her research interests include mixed models and experimental designs, motivated primarily by the problems in bioinformatics and agricultural sciences. She obtained her PhD in statistical bioinformatics at The University of Sydney. She previously was part of the Statistics for the Australian Grains Industry (SAGI) team funded by the Grains Research Development and Corporation at the University of Wollongong (2014-2017), then joined as a lecturer in statistics at the School of Mathematics and Statistics at The University of Sydney (2017-2019) and subsequently a lecturer (later senior lecturer) in statistics at the Department of Econometrics and Business Statistics at Monash University (2020-2023).
She is a big advocate for open science and an avid open-source software developer. Most of her software contributions are available at https://github.com/emitanaka/. Her personal website, made using Quarto and hosted by GitHub, is at https://emitanaka.org.
- Experimental design
- Mixed models (also known as multi-level models, panel data models or hierarchical models)
- Data visualisation and visual inference
- Applications in bioinformatics and selective breeding (particularly plant breeding)
- Statistical software development, particularly in R
- Statistical workflow (encompassing reproducibility, design, infrastructure & communication)
RN Robertson Building, The Australian National University, 46 Sullivans Creek Rd, Acton ACT 2601