Ashley Scillitoe
Ashley Scillitoe is a Research Associate within the Data-Centric Engineering group at the Alan Turing Institute. His research focuses on the quantification of aleatory and epistemic uncertainties in CFD simulations, with machine learning techniques employed to make use of high-fidelity data from Large Eddy Simulations. Ashley completed his PhD at the University of Cambridge in 2017, where his work involved the development of more reliable Large Eddy Simulation techniques for application to Gas-Turbine compressor flows. Prior to his PhD, Ashley obtained a Meng (Hons) in Aerospace Engineering from the University of Manchester.