Computational Geoscientist

Using computers to understand and explain the Earth.

I combine my geoscience background with machine learning and programming to build tools for environmental data.

Research and technical projects

Work spanning hydrology, remote sensing, computer vision, and environmental data systems.

MSc thesis Modelling Historical Reservoir Releases with Recurrent Deep Learning Methods Recurrent deep learning models for reconstructing historical reservoir release behaviour, with an interactive results explorer. Deep learningHydrologyRNNs SATELLITE / GROUND OBSERVATIONS BSc thesis Predicting Particulate Matter Concentrations from Satellite Data Using Machine Learning A machine learning investigation connecting satellite observations with ground-level particulate matter concentrations. Machine learningRemote sensingAir quality

RockGAN-generated diatomite samples evolving throughout training

Project RockGAN A conditional generative adversarial network for producing synthetic images across nine rock classes. TensorFlowKerasComputer vision

View project details

Experience

July 2023 to present

Assistant Data Analyst

Environment and Resources Authority, Malta

Data Management and Monitoring; previously Air Quality and Waste

Developing Python workflows and fully custom interactive dashboards and maps, supporting road transport emissions modelling, and replacing Excel-based systems with maintainable and reusable tools.

Education

2024 to 2026

MSc Computational Science: Geoscience

Lund University

Pass with Distinction

2020 to 2024

BSc Geosciences and Physics

University of Malta

Second Class Honours, Upper Division

Get in touch

For research, environmental data, or technical work, email me or connect through GitHub and LinkedIn.

Email GitHub LinkedIn