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-+
Riddle-Workman E, Evangelou M, Adams N, Adaptive Anomaly Detection on Network Data Streams, IEEE Conference on Intelligence and Security Informatics (ISI) 2018, IEEE
et al., 2018, GENETIC ANALYSIS OF OVER ONE MILLION PEOPLE IDENTIFIES 535 NOVEL LOCI ASSOCIATED WITH BLOOD PRESSURE AND RISK OF CARDIOVASCULAR DISEASE, 28th European Meeting of Hypertension and Cardiovascular Protection of the European-Society-of-Hypertension (ESH), LIPPINCOTT WILLIAMS & WILKINS, Pages:E229-E229, ISSN:0263-6352