CV

PhD Mathematics

MPhil Machine Learning and Medical Image Computing

MSc Data Science and Analytics

BSc (Hons) Mathematics and Computer Science

MPhil Researcher

Developed image reconstruction, super-resolution, and motion correction algorithms using deep learning for high-dimensional imaging datasets.

• Worked across 2D and 3D computer vision, unsupervised learning, generative models, image reconstruction, and super-resolution.
• Built research software for medical imaging experiments and reconstruction pipelines.

Machine Learning Research Engineer, Contractor

Researched and prototyped computer vision tools for resource-limited devices.

• Developed object detection, motion tracking, classification, and remote inference tools using deep learning.
• Advised engineers and prototyped current machine learning approaches for applied computer vision systems.

Machine Learning Research Engineer

Developed audiovisual analysis, classification, and inference tools using signal processing and deep learning methods.

• Built object detection, tracking, and classification algorithms for real-time image analysis.
• Prototyped various ML architectures with Python and then embedded and optimised in C++ using OpenCV with CUDA.
• Developed bespoke signal-processing pipelines for latency detection and synchronisation analysis, employing waveform processing, short-time Fourier transforms (STFTs), frequency-domain analysis, spectral feature extraction, and statistical modelling of audiovisual data as part of a project with Google and their Stadia platform.
• Deployed these piplines across Google Cloud Platform and developed APIs for platform-agnostic inference using raw audio buffer data.

Data Scientist

Core researcher and developer for the Tortoise Global AI Index in 2021.

• Developed Python-based data engineering pipelines using Pandas, web scraping frameworks, APIs, and Google Cloud Platform (GCP).
• Collected, processed, and analysed large-scale datasets spanning scientific publications, patents, venture investment, talent, and company activity.
• Applied statistical modelling, ranking methodologies, and data validation techniques to generate internationally comparable AI capability metrics.
• Contributed to the design and implementation of the index methodology used to evaluate AI readiness and innovation across countries.

Software Development Intern

Developed internal software engineering and automation tools supporting large-scale CAD and geometric modelling systems.

• Designed and implemented a build optimisation tool in Python using topological sorting of dependency graphs to automatically determine compilation order, enabling concurrent execution of regression test suites and significantly reducing testing and validation times.
• Developed an automated visualisation and debugging framework for the Parasolid geometric modelling kernel, dynamically generating images of user-reported problematic regions to accelerate issue diagnosis and resolution by engineering teams.