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Prior to starting at the BSU, I did a PhD at the University of Glasgow researching methodological aspects of Bayesian experimental design. My work was particularly focused on problems employing computationally intensive models under which existing methods have been found to quickly become inefficient. During my PhD, I undertook a six month position as a Graduate Teaching Assistant contributing to the development of online teaching material for Bayesian statistics and supervising postgraduate dissertations. Before my PhD, I worked at the Royal Bank of Scotland as a Risk Analyst for a year and prior to that, I completed my MSc in Statistics at the University of Glasgow. My dissertation was focused on change point analysis in a Bayesian framework. I previously completed my BSc in Mathematics at the National and Kapodistrian University of Athens.
- L. Mavrogonatou and V. Vyshemirsky, Optimal experimental design through estimation of 𝑓− divergences, ongoing project.
- L. Mavrogonatou and V. Vyshemirsky, Bayesian Experimental Design: Efficient Exploration of the Design Space., Proceedings of the International Conference on Statistics: Theory and Applications, 2019.
- L. Mavrogonatou and V. Vyshemirsky, Sequential Importance Sampling for Online Bayesian Changepoint Detection., Proccedings of the 22𝑛𝑑 International Conference on Computational Statistics (COMPSTAT 2016): 73-84.