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John Veitch is a physicist at the University of Glasgow specializing in gravitational astrophysics. His primary research focus includes the observation of binary black holes and neutron stars, as well as the operation of ground-based gravitational wave detectors. He is particularly interested in understanding the fundamental properties of astrophysical black holes, such as their masses and spins, and determining the population of these objects. He also investigates the testing of General Relativity through gravitational wave observations and employs Bayesian Inference for astrophysical data analysis. Veitch is a leading developer of the LALInference software, which is used to infer the properties of gravitational wave sources. His work includes the development of novel algorithms that enhance the speed of analysis for sources detected, particularly through the use of super-computing clusters within the LIGO Data-Grid. His research interests extend to signal processing, machine learning, and the probabilistic inference applied to astronomical problems with relevance to future gravitational wave detectors such as the Einstein Telescope, LISA, and Pulsar Timing Arrays.