Contact

Skills

  • Expert: R, HTML/CSS, LaTeX
  • Intermediate: Git/GitHub, Python, Bash, JS
  • Languages: English (fluent) and Japanese (conversational)

Interests

  • Research: experimental design, mixed models, data visualisation, visual inference, bioinformatics, statistical genetics, selective breeding, software development, statistical workflow
  • Non-Research: drawing (but not good at it), reading (manga, manhwa and non-fiction books)

This resume was made with the R package pagedown.

Last updated on 2024-03-24.

Emi Tanaka

Work Experience

Deputy Director
Australian National University,
Biological Data Science Institute
2024/03 - current
Senior Lecturer
Australian National University,
Biological Data Science Institute
2023/07 - current
ongoing
Senior Lecturer / Lecturer
Monash University,
Department of Econometrics and Business Statistics
2020/01 - 2023/06
ongoing
Lecturer
The University of Sydney,
School of Mathematics and Statistics
2017/01 - 2019/12
contract
Research fellow
University of Wollongong,
School of Mathematics and Applied Statistics
2014/01 - 2017/01
contract

Education

PhD, Statistics
Statistical Methods for Improving Motif Evaluation

Supervisor: Dr. Uri Keich
School of Mathematics and Statistics
The University of Sydney, Sydney, Australia, 2015

Bachelor of Science (Advanced Mathematics), Honours I
Major in Mathematics and Statistics

The University of Sydney, Sydney, Australia, 2010

Publications

  1. Tanaka, E (2022) Getting the most out of your experimental data with design. Biometric Bulletin, 39 (4), 9-13.
  2. Tanaka, E & Amaliah, D (2022) Current state and prospects of r-packages for the design of experiments. 10.48550/arxiv.2206.07532 Citations: 1.
  3. Amaliah, D, Cook, D, Tanaka, E, Hyde, K, & Tierney, N (2022) A journey from wild to textbook data to reproducibly refresh the wages data from the national longitudinal survey of youth database. Journal of Statistics and Data Science Education, 0 (ja), 1-27. 10.1080/26939169.2022.2094300
  4. Tanaka, E, Leung, J, & Cook, D (2022) Commentary on “visualization in operations management research”: Incorporating statistical thinking into visualization practices for decision making in operational management. INFORMS Journal on Data Science 10.1287/ijds.2021.0008
  5. Cook, D, Reid, N, & Tanaka, E (2021) The foundation is available for thinking about data visualization inferentially. Harvard Data Science Review 10.1162/99608f92.8453435d Citations: 7.
  6. Morota, G, Cheng, H, Cook, D, & Tanaka, E (2021) ASAS-NANP SYMPOSIUM: Prospects for interactive and dynamic graphics in the era of data-rich animal science. Journal of animal science, 99 (2) 10.1093/jas/skaa402 Citations: 9.
  7. Tanaka, E (2020) Simple outlier detection for a multi-environmental field trial. Biometrics, 76 (4), 1374-1382. 10.1111/biom.13216 Citations: 13.
  8. Tanaka, E & Hui, F (2019) Symbolic formulae for linear mixed models. Statistics and data science, 3-21. 10.1007/978-981-15-1960-4_1 Citations: 3.
  9. Hui, F, Tanaka, E, & Warton, D (2018) Order selection and sparsity in latent variable models via the ordered factor LASSO. Biometrics, 74 (4), 1311-1319. 10.1111/biom.12888 Citations: 27.
  10. Norman, A, Taylor, J, Tanaka, E, Telfer, P, Edwards, J, Martinant, J, & Kuchel, H (2017) Increased genomic prediction accuracy in wheat breeding using a large australian panel. Theoretical and applied genetics, 130 (12), 2543-2555. 10.1007/s00122-017-2975-4 Citations: 37.
  11. Tanaka, E, Ral, J, Li, S, Gaire, R, Cavanagh, C, Cullis, B, & Whan, A (2017) Increased accuracy of starch granule type quantification using mixture distributions. Plant methods, 13, 107. 10.1186/s13007-017-0259-2 Citations: 8.
  12. Tanaka, E (2014) Statistical methods for improving motif evaluation. PhD Thesis
  13. Tanaka, E, Bailey, T, & Keich, U (2014) Improving MEME via a two-tiered significance analysis. Bioinformatics, 30 (14), 1965-1973. 10.1093/bioinformatics/btu163 Citations: 25.
  14. Liachko, I, Tanaka, E, Cox, K, Chung, S, Yang, L, Seher, A, Hallas, L, Cha, E, Kang, G, Pace, H, Barrow, J, Inada, M, Tye, B, & Keich, U (2011) Novel features of ARS selection in budding yeast lachancea kluyveri. BMC genomics, 12, 633. 10.1186/1471-2164-12-633 Citations: 27.
  15. Tanaka, E, Bailey, T, Grant, C, Noble, W, & Keich, U (2011) Improved similarity scores for comparing motifs. Bioinformatics, 27 (12), 1603-1609. 10.1093/bioinformatics/btr257 Citations: 62.

Citation counts are sourced from Google Scholar at 2024-03-24.


Software

My software contributions can be found at https://github.com/emitanaka.

  • edibble

    An R-package that implements the grammar of experimental design.
    Creator and maintainer. GitHub stars: 206
    Source: https://github.com/emitanaka/edibble
    Documentation: https://edibble.emitanaka.org

  • flipbookr

    An R-package that parses code, creates partial code builds, delivers code movie
    Author. GitHub stars: 195
    Source: https://github.com/EvaMaeRey/flipbookr
    Documentation: https://evamaerey.github.io/flipbookr/

  • anicon

    An R-package to insert animated icons for R markdown and Shiny apps.
    Creator. GitHub stars: 121
    Source: https://github.com/emitanaka/anicon

  • simulate

    An R-package for a parametric simulation framework to generate complex multivariate and multilevel data.
    Creator and maintainer. GitHub stars: 1
    Source: https://github.com/emitanaka/simulate

  • nestr

    An R-package to build hierarchical or nested sturctures.
    Creator and maintainer. GitHub stars: 13
    Source: https://github.com/emitanaka/nestr
    Documentation: https://nestr.emitanaka.org

  • monash

    A utility R-package with consolidated tools and templates for staffs at Monash University.
    Creator and maintainer. GitHub stars: 20
    Source: https://github.com/numbats/monash

  • sugar

    An R-package for instructors to create a shiny app for particular unit to review grade and attendance of students.
    Supervisor.GitHub stars: 1
    Source: https://github.com/numbats/sugar
    Documentation: https://numbats.github.io/sugar/

  • xaringan

    An R package for creating slideshows with remark.js through R Markdown.
    Contributor. My contribution is the adaptation of the ninja-theme shown in the Documentation. GitHub stars: 1474
    Source: https://github.com/yihui/xaringan
    Documentation: https://github.com/emitanaka/ninja-theme

  • anidb

    An R-package to fetch data from the anime database at AniDB.
    Creator and maintainer. GitHub stars: 1
    Source: https://github.com/emitanaka/anidb

  • ggmatplot

    Plot Columns of Two Matrices Against Each Other Using ‘ggplot2’
    Author. GitHub stars: 5
    Source: https://github.com/xuan-liang/ggmatplot
    Documentation: https://xuan-liang.github.io/ggmatplot/

  • gghdr

    Plots of highest density regions (HDR) for ggplot2.
    Listed as author but my contribution is small. GitHub stars: 46
    Source: https://github.com/ropenscilabs/gghdr
    Documentation: https://ropenscilabs.github.io/gghdr

  • shinycustomloader

    Add a custom loader for R shiny.
    Creator. GitHub stars: 118
    Source: https://github.com/emitanaka/shinycustomloader

  • datalegreyar

    Datalegreya, the typeface that melts text and data visualisation, for R markdown.
    Creator. GitHub stars: 43
    Source: https://github.com/emitanaka/datalegreyar

  • Tomtom

    A motif comparison tool part of the MEME Suite.
    The -incomplete-scores is an implementation as a result of Tanaka et al. (2011).

    Documentation: https://meme-suite.org/meme/doc/tomtom.html

Talks

Links to the slides (if available) are at https://emitanaka.org/talks/.
Below show the last 10 invited talks.

Towards a unified language in experimental designs
Australian Data Science Network
2022-11-21
The genesis of experimentation
Ihaka Lecture Series
2022-07-28
Getting the Most Out of Your Experimental Data With Design
Monash Data Futures Insitute
2022-07-07
Current state and prospects of R-packages for the design of experiments
Statistical Society of Australia Canberra Branch
2022-06-29
An anthology of experimental designs
Toronto Data Workshop
2022-03-25
The Art of Design: Software & Experimental Design
R-Ladies Melbourne
2021-10-26
Current state and prospects of R-package for the design of experiments
University of Auckland Statistics Seminar
2021-10-14
Advent of “Grammar”: Bridging Statistics and Data Science for the Design of Experiments
Statistical Society of Australia
2020-11-27
Rethinking the framework to specify the design of experiments
Department of Agriculture and Fisheries, Queensland
2020-11-11
What every young statistician should know: Developing your identity, networking and marketing
Statistical Society of Australia Western Australian Branch
2020-09-30

Workshops

Workshop Date Location Host
Effective Data Visualisation with R 6 Dec 2022 Online WOMBAT
Data Visualisation with R 28 Nov 2022 Inverloch Australasian Applied Statistics Conference
Data Visualisation with R 21-22 Feb 2021 Online methods @ manchester
Advanced Data Visualisation with R 8-9 Dec 2021 Online Statistical Society of Australia, Canberra Branch
Data Visualisation with R 6 Dec 2021 Online Statistical Society of Australia, NSW Branch
Data Visualisation with R 15-16 Apr 2021 Online Statistical Society of Australia, Canberra Branch
Data Wrangling with R 1-2 Dec 2020 Online Statistical Society of Australia, NSW Branch
Data Visualisation with R 11-12 Nov 2020 Online Statistical Society of Australia, Victoria Branch
Data Visualisation with R 28-29 Jul 2020 Online Statistical Society of Australia, Victoria Branch
Tidyverse & R Markdown 1 Dec 2019 Adelaide International Biometrics Society, Australasia Region
Building R Packages & R Markdown 19 Nov 2019 Melbourne Statistical Society of Australia, Victoria Branch
Communicating with Data via R Markdown 4 Oct 2019 Sydney COMBINE (subcommittee of ABACBS)
Gaining skills in biostatistical consultancy 4 Jul 2019 Melbourne Statistical Society of Australia, Biostatistics Section
Statistical Methods for Omics Assisted Breeding 12-15 Nov 2018 Tokyo University of Tokyo




Teaching

  • ETC5523: Communicating with Data
  • ETC5512: Wild-Caught Data
  • ETC5521: Explonatory Data Analysis
  • STAT3012: Applied Linear Models
  • STAT5002: Introduction to Statistics
  • STAT906: Experimental Design

Professional Service

Associate Editor
R Journal, https://journal.r-project.org/
2022/02-ongoing
President
Statistical Society of Australia, Victoria Branch
2021/03-ongoing
Vice President
Statistical Society of Australia, Victoria Branch
2023/03-2024/03
Assistant Secretary
Statistical Society of Australia, NSW Branch
2017/03-2018/03
Secretary
Statistical Society of Australia, NSW Branch
2018/03-2020/03
Social Media Coordinator
International Biometrics Society, Australaisan Region
2018/01-ongoing
Member
useR! 2021, Program Committee
2021/03-2021/03
Member
Australasian Applied Statistics Conference 2020/2022, Organising Committee
2020/01-ongoing
Member
Australasian Applied Statistics Conference 2016, Program and Review Committee
2016/07-2016/12
Chair
Australasian Applied Statistics Conference 2016, Local Organisation Committee
2016/01-2016/12

Professional memberships

  • Statistical Society of Australia
  • International Biometrics Society
  • American Statistical Association

Awards & Distinctions

SSA President’s Award for Leadership in Statistics, awarded to the 2020-2022 Branch Councils
Statistical Society of Australia
2022
ARC Linkage Project
Chief Investigator
Three-dimensional Bayesian Modelling of Geological and Geophysical data
Australian Research Council
2022
$554,188
Distinguished Presenter’s Award
Statistical Society of Australia
2021
ARC Centre of Excellence
Associate Investigator
ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)
Australian Research Council
2020
ARC Industrial Transformation Training Centre
Chief Investigator
Data Analytics for Resources and Environments (DARE)
Australian Research Council
2019
$3,973,202
R Consortium Grant
Lead Investigator
Symbolic Formulae for Linear Mixed Models
R Consortium
2019
$6,000
Sydney Institute of Agriculture Research Project Grant
Chief Investigator
Land surface models of carbon and water do not work in agricultural landscapes where it actually matters they work
Sydney Institute of Agriculture
2018
$90,000
Faculty of Science Research Equipment and Infrastructure Scheme
Chief Investigator
Sydney bioinformatics and biometrics big data research server
The University of Sydney
2018
$36,040
J.B. Douglas Award
Nomination and Prize
Statistical Society of Australia, NSW Branch
2011
$500
Tim Brown Prize II
The University of Sydney
2008
$275
Barker Scholarship IV
The University of Sydney
2008
$750

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