As a computational biologist, I aim to understand biological processes through omics and data science. During my postdoctoral fellowship, I will be analysing proximity extension assay-derived proteomic data, generated as part of the IBD-response project. My goal will be to identify molecular endotypes in Inflammatory Bowel Disease that help to better stratify patients and to select appropriate treatments with longer lasting effects for them.
Having originally studied microbiology, I accidentally transitioned into the human genomics field at the end of my undergraduate studies, while looking for opportunities to work with large-scale DNA sequencing data. Since then, what was supposed to be a one-year thesis project has turned into a ten-year venture seeking to understand human phenotypes through the lens of inherited and somatic genetic variation. By harnessing new molecular data across ever-growing cohorts, I aim to build a detailed map of how the human body works and interacts with its environment, and of what disease looks like in each person, one molecule and one cell at a time.
Wellcome Sanger Institute
My publications
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