| statsgen | |
| emitanaka@fosstodon.org | |
| emitanaka | |
| emi.tanaka@anu.edu.au | |
| Australian National University 46 Sullivan’s Creek Road R. N. Robertson Building Room S307 Acton, ACT 2601 Australia |
I’m a Senior Lecturer (in the Australian system) in Statistics at the Biological Data Science Institute with affiliation also at the Research School of Finance, Actuarial Studies and Statistics at the Australian National University. My primary interest is to develop impactful methods and tools that can be readily used by practitioners. I interface across multiple disciplines to bridge statistical concepts and findings to a broad range of individuals. To this end, I have developed numerous open-source tools, primarily as R-packages, and resources aimed at making statistical methods accessible to a diverse audience. I demonstrate a proactive approach to community development through my involvement in different positions within the branches of the Statistical Society of Australia (SSA) and other committees.
My research interests are:
- 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, and
- Statistical workflow (encompassing reproducibility, design, infrastructure and communication).
I speak English, Japanese (conversational) and R (base + tidyverse) fluently. I’ve lived in Australia almost all of my life (+-10 years standard deviation) and my university major was mathematics and statistics. My PhD, obtained at the School of Mathematics and Statistics, University of Sydney in 2015, is in statistical bioinformatics with most of my code written in Python and Bash (both of which I am rusty now). I also like to dabble on front-end web development (HTML/CSS/JS). I’ve developed web apps using Shiny and practice computational reproducibility using Git, R Markdown (now Quarto) and internal DSLs (e.g. targets and renv R-packages). I’m a very data-oriented person to the extent that I’ve collected my own data via webscrapping and API. I adapt quickly and am quite open to taking new challenges – occasionally, I do text analysis and play in machine learning competitions.
I am a big advocate of open science and an avid research software engineer. My code are mostly available on my GitHub profile where I also host a number of R-packages that I have developed.
Contact
Please note that I will not respond to emails if I cannot identify who you are (i.e. not anonymous and has affiliation).