I’m interested in science, research, education, and technology.
In the research context, I’m particularly interested in computer programming, data analysis, visualisation, and reproducibility. My background is in research in the area of perception (vision and hearing; see my research) and in teaching perception and research skills (academic CV).
I am currently working as an independent consultant. If you might be interested in hiring me to assist with your research, educational, or technological requirements, please see the information about my consulting services for further details.
You can contact me by sending an email, interacting via Twitter, or instant messaging via Matrix.
Here are a few notes on what I’m listening to, reading, and thinking about.
Outside of work, I enjoy running and usually get out for a run a few times a week. I’ve run a few marathons in the past (slowly) but I’m not currently training for anything in particular—mostly trying to improve my parkrun (5 km) times.
I occasionally write posts on various topics of interest:
- 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)