Julia El-Sayed Moustafa (Falchi) is a Research Fellow in Computational Genomics in the Department of Twin Research, Ageing and Genetic Epidemiology at King’s College London. Her work focuses on the interplay between genetic and environmental influences on multi-omic variation, and how these contribute to cardiometabolic disease and ageing. Her expertise spans computational and regulatory genomics, genetic and molecular epidemiology, and bioinformatics.

Julia’s research integrates gene expression, proteomics, metabolomics, and complex traits using both cross-sectional and longitudinal approaches. She is particularly interested in the genetic and environmental determinants of molecular phenotypes, including multi-tissue cis- and trans-eQTL and pQTL analyses, and in understanding how adipose tissue transcriptomic and proteomic profiles relate to ageing, insulin resistance, and cardiometabolic health.

Within TwinsUK, she has led and contributed to several large-scale international collaborations. She leads the MultiMuTHER project, an MRC-funded longitudinal multi-omics study investigating how gene expression and metabolite levels change over time within individuals and across populations, as well as their patterns of co-variation.

She is also lead analyst on the AdiProPlus project (MRC-funded; King’s College London and University of Dundee), which is characterising the adipose tissue proteome using mass spectrometry. In addition, she has worked extensively with the MuTHER multi-tissue RNA-Seq gene expression resource in TwinsUK, and is a founding member of the AdipoExpress consortium (KCL, University of North Carolina, and University of Michigan), which performed the largest eQTL meta-analysis of adipose tissue gene expression to date. She is also part of the Wellcome LEAP “Diverging Dynamic Resilience” programme, which uses longitudinal multi-omic and phenotypic data to study resilience in the face of stressors.

For further details of Julia’s work, please see Google Scholar and ORCID