Postdoctoral Research Fellow, Computational and Biological Learning Lab, Department of Engineering, University of Cambridge
Dr Turner's work lies at the interface between neuroscience (which tries to understand the brain) and machine-learning (which tries to build algorithms which learn from data). The goal is to develop neuroscience inspired algorithms to solve problems which the brain solves routinely e.g. figuring out how many sound sources there are in an acoustic scene and what the individual contributions from each source are. The behaviour of these algorithms can then be compared to natural processing in the brain (e.g. neural activities or psychophysics) in order to better understand what they are doing. There are medical and engineering applications of this work, such as in cochlear implants for the deaf.