Lecturer (Assistant Professor) and Wellcome Trust/MIT Fellow
Nonlinearity and Complexity Research Group, Aston University

Visiting Assistant Professor
MIT Media Lab, Human Dynamics Group

TED Fellow
TED Conferences, LLC

I am a mathematician with a background in applied mathematics, statistics, signal processing and computational engineering. I have made contributions to a range of scientific and engineering problems, including biomedicine, extreme rainfall, groundwater flow, speech science, and nonlinear signal processing. The unifying theme of my research is the multidisciplinary quantitative analysis of complex systems.

Quantitative multidisciplinarity – As an applied mathematician, I see connections between subjects, not boundaries. My goal has always been to see how things are related, not how they are different. My research often draws me to the boundaries and commonalities between disciplines, for example, leading me to borrow mathematical techniques from one discipline and apply them to others, and subsequently generalising them to produce new quantitative methods for analysing and modelling data in a wide variety of contexts.

Applications – Ultimately, my aim is to make high-quality contributions that make a difference in practice. My research work has been applied to problems in biomedicine (such as monitoring of Parkinson's disease and voice pathologies), extreme rainfall analysis and forecasting, biophysical signal processing, and hydrogeomorphology and open channel flow measurement.

Biography – 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. More details can be found in my resume (CV).