People

I’ve always known I wanted to pursue a career in the life sciences.

Discovering bioinformatics during my undergraduate studies changed how I approach research.

I was particularly drawn to the potential of large-scale datasets and how much existing data remains underexplored.

During my PhD, I’ve learned to look beyond computational predictions and always come back to the biology.

Connecting bioinformatics with experimental approaches has changed how I think about and conduct research, and I’d like to keep growing as an independent researcher.

My interest in science started long before I discovered bioinformatics. From a very young age, I was convinced that cells, antibodies and all the other tiny components of the body were little people working behind the scenes to keep us alive. I imagined them running around, communicating and doing their jobs like a miniature workforce inside me.

Once I was old enough to use a microscope, I discovered that, unfortunately, there were no tiny humans to be found. Despite this devastating revelation, I still thought the microscopic world was pretty cool, so I stuck with science.

I have a background in Biomedical Science and Applied Bioscience.

I’m fascinated by how small molecular changes can have significant effects on cells and disease, and I enjoy bringing molecular biology and bioinformatics together to explore these questions.

I have a background in Biomedical Science and an MSc in Applied Bioscience.

I’m interested in how gene regulation shapes cellular behaviour and disease, and in bringing computational and experimental biology together to understand these mechanisms.

I have a background in Medical Laboratory Science, molecular diagnostics, biomedical research and data science.

My interest in computational biology grew from seeing how biological data can reveal patterns that laboratory testing alone may miss.

I’m particularly interested in using computational methods to understand complex biological systems.

I have a background in biomedical science, molecular biology and cancer biology.

I’m interested in how molecular changes influence cancer beyond protein-coding genes.

My interest in computational approaches grew from wanting to explore complex regulatory mechanisms and large-scale genomic data that experimental methods alone could not fully explain.