What is your background in the field of genomic medicine and data science?
Applications of computation methods to analyse high-throughput molecular data sets including transcriptomics, genomics and other technologies. Use of statistical and AI methods in applications areas including cancer.
When did you start at the University? And what inspired you to get into this field?
I joined the University of Leeds in1998. I was attracted to the field because of its clear medical importance and the impact that research could have on our ability to treat disease successfully, particularly cancer.
What makes this area so important?
The revolution in our ability to generate molecular data on a vast scale has enabled a who new way of understanding the complexities of disease that is now starting to have an impact in the clinic.
What students can expect to learn on this course?
An appreciation of the power of high-throughput molecular data in biomedicine; the ability to understand, interpret and critique contemporary scientific literature in the area; an appreciation of experimental and data analytic issues.
How can prospective students use these skills in their careers?
The course will enable the students to work in research careers in precision medicine, in the academic, pharmaceutical and biotechnology sectors.