I’m interested in science, research, education, and technology — particularly relating to computer programming, data analysis, visualisation, and reproducibility.
I work as a Research Data Specialist in the Melbourne Data Analytics Platform (MDAP) at the University of Melbourne in Australia.
My background is as a researcher in the area of perception (vision and hearing; see my research) and as a teacher of perception and of research skills. Please see my academic CV for further details.
I update a few notes on what I’m listening to, reading, and thinking about each month. I enjoy running and usually get out for a run a few times a week.
Here are some posts that I have written on various topics of interest:
- Race report: Orange Running Festival half-marathon (2023-Mar-29)
- Labelled multi-dimensional arrays for representing research data (2023-Feb-03)
- Creating heatmap visualisations for posterior distributions (2022-Nov-29)
- Extracting files from a remote zip archive (2022-Nov-21)
- Race report: Carcoar Cup half-marathon (2022-Nov-15)
- A Bayesian approach to perceptual difference scaling (2022-Sep-19)
- Benefits of storing and accessing research data in zip files (2022-Aug-17)
- Reproducing intention in research programming (2022-Jun-12)
- Camera shake and the stream-bounce effect (2022-May-19)
- Presenting images on the web with a higher apparent bit-depth (2022-May-15)
- Fitting models with circular data in PyMC (2022-May-04)
- Using containers for reproducible and collaborative computation (2021-Nov-06)
- An interactive image Fourier analysis website (2021-Aug-07)
- A web version of an interactive visual neuron simulator (2021-Jan-10)
- Rendering stimuli for perception studies using Mitsuba 2 (2020-Jul-02)
- Motion-defined surfaces and surface lightness (2020-Mar-04)
- Code review as part of a research workflow (2020-Jan-28)
You can subscribe to my RSS feed if you would like to be notified of new posts.
Please feel free to contact me by sending an email (I can always be found).