About

I lead a group of researchers studying algorithms for statistical machine learning in signal processing. My background is in applied mathematics and computer science. The unifying theme of my research is machine learning in signal processing. Most of my applied work is in biomedical engineering, in particular algorithms for digital health using wearable devices and smartphones.

I began my career writing software, signal processing algorithms and music for video games, then moved on by way of a degree in mathematics to the University of Oxford. After postdoc positions in Oxford and co-founding a web-based image search business, I won a Wellcome Trust fellowship at MIT to follow up on my doctoral research work in biomedical signal processing, where I was selected as a TED Fellow at TED Conferences, LLC. I am currently an Associate Professor at the School of Computer Science, University of Birmingham in the UK.