My name is Nick Tierney. I recently completed my PhD in Statistics at QUT, and am now a Research Fellow in Statistics at Monash University working with [Rob Hyndman](https://robjhyndman.com/) and [Di Cook](http://dicook.org/) in the NUMBAT group.
My research aims to improve data analysis workflow. This includes statistical modelling, calculating diagnostics, drawing inferences and making decisions. Crucial to this work is producing high quality software to accompany each research idea. My work so far has focussed on the importance of knowing your data ( [`visdat`](https://github.com/njtierney/visdat) ), and on creating principles and tools that make it easier to work with, explore, and model missing data ( [`naniar`](https://github.com/njtierney/naniar)). I have also created an optimisation model that identifies and possibly relocates facilities to maximise their coverage on a population, (`maxcovr`), and am interested in testing if commonly used diagnostics for MCMC methods are used effectively by researchers.
I am always up for questions about anything to do with R and stats. I did some programming in highschool in 2006-7, and then didn't code again until 2013 -
I had not programmed in R at all, and was just finishing my undergrad in psych. I was really fortunate to have some really kind people show me the ways of R and statistics, and I want to make sure I can help people in the same way.
This website exists so I can write about what I do and engage in dialogue with statisticians, programmers, and whoever else is interested.
I am a keen rock climber and enjoy being involved in the climbing community. Over the past years I have MC'd at national and state level climbing competitions, here is a photo of me MCing at the Australian national lead climbing championships in 2015 in Brisbane.
Open Source Software Development
Bachelor of Psychological Sciences (Honours)
Prizes, awards and special recognition
ACEMS Impact and Engagement Award was awarded to Nick Tierney. Awarded from the ACEMS.
The ACEMS Impact and Engagement Award aims to acknowledge and celebrate ACEMS members who actively engage in the translation of their research findings/outputs/insights to applications, use and
uptake outside of academia. This award recognises research interactions with industry, Government, non-governmental organisations, communities and community organisations; and research contributions
to the economy, society and environment.
Project Summary: The objective is to create a reference platform on the theme of missing data management and to federate contributors. This platform will be the occasion to list the existing packages, the available literature as well as the tutorials that allow to analyze data with missing data. New work on the subject can be easily integrated and we will create examples of analysis workflows with missing data. Anyone who would like to contribute to this exciting project can contact us.
This award is given for best presentation by a young statistician at https://iscbasc2018.com/. Nick and Dilini were runners up for this prize.
EJG Pitman Prize (https://iscbasc2018.com/conference-awards/):
This prize is awarded for the most outstanding talk presented by a ‘young statistician’ at an Australian Statistical Conference.
Following is an extract from the SSA Regulations which outline the rules of the EJG Pitman Prize.