I’m a machine learning engineer, astrophysicist and indie game aficionado. I completed my PhD at ICRAR/UWA developing AI models to study galaxy evolution in large-scale surveys and cosmological simulations.
Welcome to my website! Here you’ll find me (occasionally) writing about various topics I find interesting, including:
Physics & CS
- The SHPC Retrospective: assorted topics in scientific computing.
- Automatic detection of craters on the surface of Mars.
- Fractal terrain generation with the diamond-square algorithm.
- Procedural name generation with Markov chains.
Machine Learning
- Mapping galaxy types with VAEs.
- Synthetic galaxy images with GANs.
- Visualising latent spaces of CNNs.
- Hyperparameter tuning with Optuna & KerasTuner.
- Feature maps & filter visualisation.
Check out the featured posts above, or
or, browse by topic:
algorithms astronomy complex networks cosmology darts differential equations fortran gaming GAN geometry indielist keras linguistics longform machine learning math n-grams neural networks nlp optimisation optuna parallelism planetary science programming python quantum shpc umap vae visualisation worldbuilding
My Research
My award-winning research led to the development of deep learning models specifically for studying the evolution of galaxy morphology. My models have been applied to study hundreds of thousands of galaxies across multiple datasets from large-scale observational survey to cosmological simulations.
Preprints of my first-author papers are available on arXiv.
See my ORCID or Google Scholar profile for my full list of publications.