Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Senior Lecturer in Statistics



+44 (0)20 7594 7184m.evangelou




546Huxley BuildingSouth Kensington Campus






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, 2020, An anomaly detection framework for cyber-security data, Computers and Security, Vol:97, ISSN:0167-4048, Pages:1-10

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, Vol:36, ISSN:1367-4803, Pages:4616-4625


Mustafa R, Mens M, Pinto R, et al., 2020, Identifying metabolomic fingerprints of microRNAs in cardiovascular disorders, SPRINGERNATURE, Pages:277-277, ISSN:1018-4813

Lucotte EA, Sugier P-E, Deleuze J-F, et al., 2020, Analysis of the pleiotropy between breast cancer and thyroid cancer, Annual Meeting of the International-Genetic-Epidemiology-Society, WILEY, Pages:504-504, ISSN:0741-0395

Mustafa R, Mens M, Pinto RJ, et al., 2020, Metabolomic signatures of microRNAs in cardiovascular traits: A Mendelian randomization analysis, Annual Meeting of the International-Genetic-Epidemiology-Society, WILEY, Pages:506-506, ISSN:0741-0395

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