Andreas Anastasiou, DPhil (Oxon.)

I come from Nicosia, the capital city of the small island of Cyprus. My interaction with Mathematics has long begun, from the early years of my life. Studying Mathematics and Statistics at the University of Oxford and the University of Cyprus has been crucial in defining my perception of the world. This has only been the beginning of enriching my skills and broadening my vision in preparing for life in an increasingly complex and demanding world where education and research are two of the most important aspects of my life; they make one appreciate his/hers field of study and of oneself. 

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I finished my D.Phil. from the Department of Statistics at the University of Oxford under the supervision of Professor Gesine Reinert. My D.Phil. research project was on finding explicit upper bounds on the distributional distance between the distribution of the Maximum Likelihood Estimator (MLE) and its approximate normal distribution. For this purpose, Stein's method has partially been used. It is a powerful method that can measure the error in the approximation of one known distribution by another in a wide range of metrics. After my D.Phil. I was a Postdoctoral Research Officer at the Department of Statistics at the London School of Economics and Political Science (LSE). I have been working with Professor Piotr Fryzlewicz on new challenges in Time Series analysis and especially on developing new methods for change-point detection under quite complex structures. At the moment, I am an Assistant Professor at the Department of Mathematics and Statistics at the University of Cyprus, where I continue working on change-point detection in time series and on the assessment of the quality of known asymptotic distributional results. You can find more about my research interests in Publications and Software.

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Coming from a sunny island helps a lot in enjoying outdoor activities; swimming and running are the two main activities that help me relax and empty my mind. I am also a great football fan and I try to play at least once a week with friends.