Andreas Anastasiou received his B.Sc. degree in Mathematics and Statistics from the University of Cyprus (2011), an M.Sc. in Applied Statistics (2012), and his D.Phil. in Statistics (2016) both from the University of Oxford. After three years of postdoctoral research at the Department of Statistics of the London School of Economics and Political Science (LSE), he has been at the University of Cyprus since 2019, currently as an Assistant Professor in the Department of Mathematics and Statistics. His current research interests include the development of novel, accurate, and computationally efficient change-point detection algorithms that can be applied to different frameworks for the detection of various types of changes. Through the employment of Stein’s method, he is also interested in obtaining upper bounds on the distributional distance between the distribution of a quantity of interest and its limiting distribution. Such bounds help in the assessment of the quality of known asymptotic distributional results in Statistics.