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PhD Computer Science

• Field: Computer Vision, Machine Learning, Statistical Shape Modelling.
• Advisors: Prof. Nick Pears, Prof. Andrew Keeling, and Dr. Patrik Huber.

MSc Advanced Computer Science

• Thesis: The Effect of Temporal Dependency on Deepfake Detection
• Advisor: Prof. Nick Pears.

BEng Computer Science

• Thesis: Deep Learning for Gaze Estimation
• Advisor: Prof. Nick Pears.

• Best Presentation Award, Runner-Up: ReproduceCVPR Workshop, FAU, Germany
• Best Project Award, Runner-Up: ReproduceCVPR Workshop, FAU, Germany
• Basecamp Artistic Residency Selection (200 globally): Locarno Film Festival, Switzerland
• Far East Film Festival Campus Selection (10 out of Europe & Asia):

• Engineering and Physical Sciences Research Council Doctoral Scholarship
• Writer of the Year (1 out of 20,000): University of York

• Highest-marked dissertation (1 out of 150): University of York

• IBM Entrance Scholarship (3 out of 150): University of York

PhD Researcher

• Shape-consistent text-guided image generation from generative 3D head models.
• Shared latent space for text, images, and 3D parameterised heads.
• Parts-based shape completion of the human head.

Master’s Researcher

• Classification of deepfake detection systems.
• Quantifying sources of bias in image-based generative methods.

Undergraduate Researcher

• Deep learning solutions for real-time unconstrained gaze estimation.