Research Interests

My research focuses on efficient optimisation of neural networks. Specifically the efficient optimisation algorithms that produce high accuracy models with little hyperparameter cross validation, and the training of efficient quantised neural networks. While much of modern machine learning research leverages larger and larger models, it is important to remember the real world energy costs associated with training and deploying such architectures. I believe it is important to focus on reducing the cost of machine learning to help maximise its use cases and reduce its impact on the planet.