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., Investigating gene- and pathway-environment Interaction analysis approaches, Journal of the French Statistical Society, ISSN:1962-5197
et al., 2016, Correlation of pre-operative CT findings with surgical & histological tumor dissemination patterns at cytoreduction for primary advanced and relapsed epithelial ovarian cancer: A retrospective evaluation, Gynecologic Oncology, Vol:143, ISSN:0090-8258, Pages:264-269
et al., 2016, Regulatory T Cell Responses in Participants with Type 1 Diabetes after a Single Dose of Interleukin-2: A Non-Randomised, Open Label, Adaptive Dose-Finding Trial, Plos Medicine, Vol:13, ISSN:1549-1676
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