Responsibilities include:
Responsibilities include:
Grade: Distinction
Modules taken: Machine Learning and the Physical World, Principles of Machine Learning Systems, Machine Visual Perception, Theory of Deep Learning and Geometric Deep Learning.
Thesis: HyperSheaf: a sheaf hypergraph library for heterogenenous data supervised by Professor Pietro Liò. Grade: 84%.
Grade: First class honours
Relevant modules: Data Science, Machine Learning, Natural Language Processing, Natural Language Understanding and Mathematical Topics in Machine Learning.
Dissertation: Bias and variance for machine learning supervised by Professor Gavin Brown. Grade: 82%.