Max Little

Max is a Lecturer working in the Nonlinearity and Complexity Research Group at Aston University. His background is in applied mathematics, statistics, signal processing and computational engineering. He has 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 his research is the multidisciplinary quantitative analysis of complex systems.

As an applied mathematician, Max sees connections between subjects, not boundaries. His goal has always been to see how things are related, not how they are different. His research often draws him to the boundaries and commonalities between disciplines, for example, leading him 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.

Ultimately, he aims to make high-quality contributions that make a difference in practice. His 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.

Max began his 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, he won a Wellcome Trust fellowship at MIT to follow up on doctoral research work in biomedical signal processing.

Max Little

Presentation 2014