Lecturer (Assistant Professor) in Music Technology.
Tom graduated in Music from Robinson College, Cambridge (MA 2005), and then from a second undergraduate degree in Mathematics and Statistics from Keble College, Oxford (MA 2008). He undertook doctoral work at the Faculty of Mathematics, Computing and Technology, The Open University, Milton Keynes, UK from 2008 to 2011. The PhD, titled Improved methods for pattern discovery in music, with applications in automated stylistic composition, was supervised by Robin Laney, Alistair Willis, and Paul Garthwaite.
Tom has held several postdoctoral positions: at the Center for Mind and Brain, UC Davis, USA from 2011 to 2012; at the Department of Computational Perception, Johannes Kepler University Linz, Austria from 2013 to 2014; and as an early career research fellow in the Music, Technology and Innovation Research Centre, Faculty of Technology, De Montfort University, Leicester, UK from 2014 to 2016.
In 2015, he founded Music Artificial Intelligence Algorithms, Inc., with long-term collaborator Christian Coulon, with the aim of providing interfaces that transform the way users make, share, and understand music.
Alongside this project, he has held positions as Visiting Assistant Professor, in the Department of Psychology, Lehigh University, USA from 2016 to 2018, and then in the Department of Computer Science, Lafayette College, USA from 2018 to 2019.
Tom's main research interests comprise:
Find out more information about the Music Computing and Psychology Lab.
The publications arising from the lab's work cross boundaries between music, computing, psychology, mathematics, and statistics. As an example, a paper on cognition of tonality appeared in Psychological Review (Impact Factor 7.6, and 5th out of 128 journals in the category Psychology – Multidisciplinary).
Tom has contributed to the following funded research projects: