Rafael Arias Gonzalez

Rafael graduated with a Bachelor of Science in 2017 with First Class Honours and has since worked as a University Lecturer, Backend Developer, and Artificial Intelligence / Data Science Engineer. He is passionate about sharing knowledge with others.

His research relates to improving Artificial Intelligence algorithms for music composition and improvisation. There has been some amazing work done in this area, but there is still much to explore. His main focus is to find ways to optimize and improve the existing algorithms!

Thesis：Exploring data augmentation and memory strategies for AI-based synthetic personae