Kevin Webster(III)
Kevin is an Honorary Research Fellow in Mathematics at Imperial College London, where he specialises in Deep Learning. He completed his PhD in dynamical systems at Imperial College London and his research experience includes postdoctoral positions at Imperial College, a Marie-Curie Fellowship. He is currently teaching the PhD deep learning course in the Mathematics department at Imperial College London.
Prior to founding FeedForward, he was Head of Research at Jukedeck where he led the team applying machine learning to music composition. He also spent 9 years as a professional musician, during which time he was Head of Keyboard & Applied Musicianship at BIMM (then Tech Music Schools). He was also a pianist, organist, composer & arranger, performing with his own trio and a range of artists for concerts & recording sessions.
Kevin has a particular interest in generative modelling using modern deep learning algorithms, especially applied to sequence modelling tasks such as music generation and audio synthesis. He also has expertise in using machine learning and deep learning models as part of music recommendation systems. His passion is in applying machine learning to the creative sphere.
Check out Kevin's deep learning course at Imperial College London: deeplearningmathematics.com
Prior to founding FeedForward, he was Head of Research at Jukedeck where he led the team applying machine learning to music composition. He also spent 9 years as a professional musician, during which time he was Head of Keyboard & Applied Musicianship at BIMM (then Tech Music Schools). He was also a pianist, organist, composer & arranger, performing with his own trio and a range of artists for concerts & recording sessions.
Kevin has a particular interest in generative modelling using modern deep learning algorithms, especially applied to sequence modelling tasks such as music generation and audio synthesis. He also has expertise in using machine learning and deep learning models as part of music recommendation systems. His passion is in applying machine learning to the creative sphere.
Check out Kevin's deep learning course at Imperial College London: deeplearningmathematics.com