I have spent much of my studies looking for the ways in which mathematics can be used to give us a new understanding of how the human body works, and of what separates health from disease. For my final year BSc project under the supervision of Professor Andrew Hazel, I reviewed PDE models of blood flow in the human placenta as a first step towards understanding fetal growth restriction.

The Scientific Computing MSc at the University of Heidelberg offered a perfect environment to build from mathematics on the page towards computational work. In my first year, I joined the group of Professor Heuveline at EMCL to study models of carcinogenesis under the supervision of Saskia Haupt. There, I got a first taste of omics data analysis while researching the evolving neoantigen landscapes in Lynch syndrome colorectal cancer.

Wanting to work more closely with molecular data, I found my current scientific home in the Saez-Rodriguez group. I feel exceptionally lucky to work alongside and learn from biologists, computer scientists, and clinicians in such a supportive lab. Here, I have worked on a variety of projects: from bulk RNA-seq analysis of primary myelofibrosis in mice to single-cell analysis of chronic kidney disease. My PhD will focus on a multi-omics analysis of IgA nephropathy.