cv

Research Scientist

MediaTek Research

• Artificial Intelligence (AI)
• Research
• Applied Mathematics
• Deep Learning

Postdoctoral Research Fellow

UCL Centre for Data Intensive Science and Industry

I received a funded fellowship position to work collaboratively with the Machine Learning team at ASOS building a system to predict customer returns using Graph Neural Networks. My responsibilities involved leading a small group of PhD students and MSc students who worked with me during this time.

• Machine Learning
• Graph Neural Networks
• Recommender Systems
• Research Supervisison

Research Intern

MediaTek Research

During this time, I worked on a Meta-Learning project based on an adaptation of the MAML algorithm for hierarchical learning. Our new algorithm, TreeMAML, achieved superior performance compared to similar meta-learning algorithms on NLP tasks by exploiting prior knowledge of the language tree.

• Representation Learning
• Meta-Learning
• Computer Vision
• Natural Language Processing

Research Intern

MediaTek Research

During this time, I worked on a Meta-Learning project based on an adaptation of the MAML algorithm for hierarchical learning. Our new algorithm, TreeMAML, achieved superior performance compared to similar meta-learning algorithms on NLP tasks by exploiting prior knowledge of the language tree.

• Representation Learning
• Meta-Learning
• Computer Vision
• Natural Language Processing

Postgraduate Researcher

University College London

My research involved computational modelling of a variety of unknown higher order functions in perturbation theory, describing quantum interactions within particle collisions. Subsequently, I developed a framework for fitting this approximate theory to datasets via Hessian methods to gain a handle on the theoretical uncertainties present in physical quantities calculated in quantum field theory.

• Particle Physics
• Theoretical Physics
• Quantum Field Theory
• Collider Physics

The Alan Turing Institute

Intensive hackathon working with ML techniques to produce a podcast recommendation algorithm for a company named Entale.

• Algorithmic Design
• Recommender Systems
• Machine Learning

UK Atomic Energy Authority (UKAEA)

Proof of concept project to show that the calibration of images from 'shaky' cameras inside a fusion reactor could be automated using off-the-shelf CNN models.

• Computer Vision
• Nuclear Fusion
• Machine Learning

Unification of the Standard Model

Explored various extbf{unification group} candidates including $SU(5)$, $SO(10)$ and $E_{6}$ with and without supersymmetry.

• Quantum Field Theory
• Theoretical Physics
• Group Theory
• Mathematics

Student Ambassador

• Communication Skills
• Presentation Skills

PhD

University College London

Theoretical Physics

• Quantum Field Theory
• The Standard Model
• Accelerator & Collider Phsyics

High Energy Physics PhD Thesis Prize

University College London

Research & Leadership Scholarship

University of Leeds

Deans Excellence Scholarship

University of Leeds