Ms Amy Mulick
BSc MA MSc
in Statistical Epidemiology
I work as an applied statistician, addressing statistical and epidemiological questions in diverse medical specialties. Special interests are metabolomics, biomarker discovery, linear mixed modelling, statistical programming and complex modelling.
Currently (February 2018) I work with Dr Sinead Langan on the problem of phenotyping eczema.
In Term 1 I organise Introduction to Statistical Computing on the London-based MSc in Medical Statistics and teach the Stata module, and I assist practical sessions for Robust Statistical Methods. In Term 3 I lecture on metabolomics during the 'Big Data' session. Throughout the year I tutor on the module ‘Further Statistical Methods for Clinical Trials’ on the distance learning MSc in Clinical Trials.
Previously I organised or assisted with other statistical modules including Probability, Inference, Analytical Techniques, Linear Regression, Statistical Methods in Epidemiology (SME) and Advanced Statistical Methods in Epidemiology (ASME), and have delivered similar content in summer short courses, externally in the UK and abroad.
Currently I am researching and developing optimal statistical methods for identifying phenotypes of disease, with application to eczema (atopic dermatitis). My ongoing work with Professor JP Casas at UCL is in using metabolomic profiles to quantify heterogeneity in serum high-density lipoprotein (HDL) metabolism and to identify metabolites that can discriminate between different (medical) causes of mortality.
Statistical methods: Survival analysis, linear mixed models, exploratory factor analysis, k-means and hierarchical cluster analysis, latent class analysis, meta-analysis.