Jess is a Postdoctoral Research Fellow at UCL, where she applies computational approaches to study pharmacogenetic variants in population cohort data.

She completed her PhD in genomics at the Earlham Institute, where she investigated the genomic consequences of inbreeding. Focusing on the cheetah, she applied bioinformatics and machine learning approaches to characterise population structure, genetic diversity and mutation load, identifying variants associated with inbreeding depression. She also implemented a machine learning approach to apply human omics data and clinical variant annotations to non-model species, enabling the identification of non-coding disease-associated variants.

At UCL, Jess is applying her computational and genomic background to the field of pharmacogenetics. By integrating genetic data with electronic health records (EHRs), she aims to investigate pharmacogenetic variants involved in drug metabolism and their association with prescribing patterns and patient outcomes.