I am a Senior Lecturer in Statistics in the Statistics Section of the Department of Mathematics. Throughout my career I have been interested in the development of statistical methods for the analysis of high dimensional and complex datasets from the fields of biology, health and medicine. Other interests include the modelling of cyber-security data-sources for the development of anomaly detection techniques.
Previously I was a Lecturer in Biostatistics with a joint position in the Department of Mathematics and the Department of Epidemiology and Biostatistics (School of Public Health) at Imperial College London. Before joining Imperial, I worked as a Statistician at the University of Cambridge where I also completed my BA in Mathematics, MPhil and PhD in Statistics.
Since October 2018, I am the MSc in Statistics Course Director. I teach the Statistical Genetics and Bioinformatics module as part of the MSc in Statistics.
Evangelou M, Adams N, An anomaly detection framework for cyber-security data, Computers and Security, ISSN:0167-4048
Rodosthenous T, Shahrezaei V, Evangelou M, 2020, Integrating multi-OMICS data through sparse Canonical Correlation Analysis for the prediction of complex traits: A comparison study, Bioinformatics, ISSN:1367-4803
et al., 2018, An enrichment analysis for cardiometabolic traits suggests non-random assignment of genes to microRNAs, International Journal of Molecular Sciences, Vol:19, ISSN:1422-0067
et al., 2019, A MENDELIAN RANDOMISATION STUDY ON CAUSALITY BETWEEN ATTENTION-DEFICIT/HYPERACTIVITY DISORDER AND MULTIPLE OBESITY-RELATED TRAITS, 27th World Congress of Psychiatric Genetics (WCPG), ELSEVIER, Pages:S114-S115, ISSN:0924-977X
Riddle-Workman E, Evangelou M, Adams N, 2018, Adaptive anomaly detection on network data streams, IEEE Conference on Intelligence and Security Informatics (ISI) 2018, IEEE