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Ms Maria Skoularidou

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Research interests

During my undergraduate studies in Informatics I was delighted to explore the essentials of information theory and theoretical computer science (algorithmic and Kolmogorov complexity, computability, asymptotic theory). Later, as postgraduate student I focused on Bayesian methods and applications. My fields of interest lie in Bayesian high-dimensional problems, mixture models, clustering and Machine Learning.


1) Kontoyiannis, Ioannis, and Maria Skoularidou. "Estimating the directed information and testing for causality." IEEE Transactions on Information Theory 62.11 (2016): 6053-6067.
2) Heard, Nick, Konstantina Palla, and Maria Skoularidou. "Topic modelling of authentication events in an enterprise computer network." Intelligence and Security Informatics (ISI), 2016 IEEE Conference on. IEEE, 2016.

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The Cambridge Big Data Strategic Research Initiative brings together researchers from across the University to address challenges presented by our access to unprecedented volumes of data. Our research spans all six Schools of the University, from the underlying fundamentals in mathematics and computer science, to applications ranging from astronomy and bioinformatics, to medicine, social science and the humanities

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