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Jenna Keung

Jenna Keung

Research Assistant

Research interests

Oesophageal cancers are associated with poor prognosis, and the response of patients to immunotherapy remains highly variable. Consequently, it is unclear from the outset as to which treatment regimen each individual patient would benefit from most. The LUD2015-005 trial is thus designed to assess differences in clinical benefit between various immunochemotherapy approaches.

My current work involves analysing single omics datasets obtained from the LUD2015-005 trial, then integrating various multiple omics together, with the aim of identifying biomarkers of immunotherapy response. Initially, I will be focusing on the plasma proteomic and metabolomics datasets. These results will hopefully lead to a more holistic and nuanced overview of the underlying disease mechanisms that differentiate different study groups.

Background

I studied Biomedical Sciences BSc at King’s College London, specialising in genetics. After undertaking a computational project involving statistical genetics analysis during my undergraduate degree, I decided to further explore different fields of computational biology by gaining experience analysing different omics types. To this end, I studied the Bioinformatics and Theoretical Systems Biology MSc at Imperial College London, where I worked with single-cell and bulk transcriptomic data, as well as integrating metabolomics and proteomics datasets.