Projects
Selected projects
A mix of research code, tools, and side projects. See more on GitHub.
Spatio-Temporal Methane Emission Characterisation
Detecting and quantifying methane source locations in obstructed unsteady-state flow fields using deep learning surrogate modelling of atmospheric methane transport.
Energy Prediction and Profit Optimisation
Developing hourly energy consumption and production forecasts for multiple neighbourhoods over several months. Optimising daily trading strategies to maximise profits on the energy market.
MCMC Parameter Estimation for Gaussian Plume-Based Inversion
Emission source characterisation using MCMC methods for Gaussian plume-based atmospheric inversion. Jointly estimating forward model parameters and emission source characteristics to account for model mispecification in the inversion process.
Housing Price Prediction using Gaussian Processes
Cleaned data, conducted exploratory analysis, engineered features, and applied Gaussian process regression to predict California house prices.