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.
Since October 2018, I am the MSc in Statistics Course Director. I teach the M5MS14 Statistical Bioinformatics and Genetics module as part of the MSc in Statistics. I am also co-leader of the Bayesian Statistics 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 (vol 50, pg 1412, 2018), Nature Genetics, Vol:50, ISSN:1061-4036, Pages:1755-1755
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., 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
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