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:
- Using custom data types in Python: reflections on the use of type hints (2023-Nov-05)
- 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)
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Please feel free to contact me by sending an email (I can always be found).