Further Information

January 8, 2020  

PhD.

My doctoral (PhD) thesis is entitled “Executing Goals and Intentions in Dynamic Multitasking Environments”, and focuses on the effects of interruptions to deferred tasks in simulated air traffic control.

I am an alumni of the Human Factors and Applied Cognition Laboratory. I have a continued research interest in developing quantitative models of cognitive processes in workplace contexts.

My thesis was awarded with an American Psychological Association Early Career Award (Division 3, Experimental Psychology) and a “Higher Degree by Research Achievement Award” from UWA Graudate Research school.

My PhD was supervised/advised by:

Programming Philosophy.

Reproducible research, open-source/free software, and computational methods are central to my work. I spend a great deal of my time programming and twisting and wrangling data. I am a fan of excessive dotfiles and configurations. I actively promote computational literacy as an essential skill and actively help social scientists get started with programming.

I developed and released the first library, FIPS, for conducting simulations of biomathematical models of fatigue under the AGPL3. I contribute to open source, including easystats, a young and ambitious project aiming to develop a usable and intuitive interface to R models.

Toolkit

I honestly use the tool required for the job. That said, I do prefer working with R, Python, and Autohotkey. Within R, I’m frequently leveraging lme4, ggPMDC, Stan, the tidyverse, and devtools/remotes. The only statically compiled language I am familiar with is Go. I am most comfortable within close proximity to the GNU Core Utils and a Linux Boot (or WSL these days). Those who have worked closely with me for some time are well aware that I can talk at great lengths about Debian, Emacs, and Authotkey. I hold a deep hope that rumors of a LISP based R-like language are true.