I am a Lecturer in Biostatistics with a joint position in the Department of Mathematics (Statistics Section) and the Department of Epidemiology and Biostatistics.
Throughout my career I have been interested in the development of statistical methods for the analysis of genomics datasets, to help identify and understand the causes of various diseases. 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.
My other research interests include modelling cyber-security data-sources for the development of anomaly detection techniques.
I teach the the M5MS14 Statistical Bioinformatics and Genetics module as part of the MSc in Statistics. I am also co-leader of the Bayesian Statistics and Spatial analysis module of the MSc in Epidemiology.
et al., 2018, Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits, Nature Genetics, Vol:50, ISSN:1061-4036, Pages:1412-+
et al., 2018, Investigating Gene- and Pathway-environment Interaction analysis approaches, Journal of the Sfds, Vol:159, ISSN:2102-6238, Pages:56-83
Riddle-Workman E, Evangelou M, Adams N, Adaptive Anomaly Detection on Network Data Streams, IEEE Conference on Intelligence and Security Informatics
Schon C, Adams N, Evangelou M, 2017, Clustering and Monitoring Edge Behaviour in Enterprise Network Traffic, 15th IEEE International Conference on Intelligence and Security Informatics - Security and Big Data (ISI), IEEE, Pages:31-36
Larsen E, Truong T, Evangelou M, 2016, Exploring GenexEnvironment Interactions through Pathway Analysis, Annual Meeting of the International-Genetic-Epidemiology-Society, WILEY-BLACKWELL, Pages:648-649, ISSN:0741-0395