I am a Research Associate in the Department of Epidemiology and Biostatistics.
My research interests lie in the field of metabolomics and chemometrics. To be more specific, these include design of experiments, data pre-processing, data quality control and multivariate data analysis.
I joined Imperial College in 2013 as a Research Assistant before being awarded a PhD in "Animal Science" by Aarhus University in 2014.
My work in Imperial College covers:
- Developing workflows on pre-processing metabolomics data from UPLC-MS and NMR spectroscopy
- Quality control of metabolomics data
- Applications of various multivariate analysis tools on the metabolomics data
- Cross-correlation analysis of multi-platform metabolomics data
- Metabolic pathway analysis
et al., 2019, New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders, Nature Human Behaviour, Vol:3, ISSN:2397-3374, Pages:950-961
et al., 2019, GWAS for urinary sodium and potassium excretion highlights pathways shared with cardiovascular traits, Nature Communications, Vol:10, ISSN:2041-1723
et al., Serum metabolic signatures of coronary and carotid atherosclerosis and subsequent cardiovascular disease, European Heart Journal, ISSN:1522-9645
et al., 2019, Metabolomics profiling of visceral adipose tissue: Results From MESA and the NEO study, Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease, Vol:8, ISSN:2047-9980
et al., 2019, PhenoMeNal: Processing and analysis of metabolomics data in the cloud, Gigascience, Vol:8, ISSN:2047-217X