Bio

MSci Graduate (First Class) in Computer Science. Focus on machine learning and cryptocurrencies. For my undergrad dissertation I was investigating methods of facial recognition to determine the effects of the speed vs. accuracy trade-off. For this thesis I was awarded 19/20 (First Class). For my Master's Thesis, I was investigating the efficiency of Cryptocurrency markets using Deep Learning neural networks and a combination of fundamental, technical, and natural language inputs. Primarily investigating markets for coins with Capitalisation over $1Bn, and only those which are mine-able. Also received 19/20 for this dissertation. Also interested in traditional financial markets and investment.