DPhil in Genomic Medicine and Statistics
This four year DPhil programme trains future scientific leaders who will work at the cutting edge of genomics in biomedical research and enable effective delivery into the clinic.
Students will use and learn about - omics approaches leveraging next generation sequencing including application in genomics, transcriptomics, proteomics, metabolomics and epigenomics together with genome editing and single cell genomics techniques.
The programme is hosted in the Wellcome Trust Centre for Human Genetics (WHG), which hosts world-leading research groups in disease genetics, statistics, bioinformatics, genomic analysis, protein structure, and functional biology. Close links with Oxford University Hospitals facilitate translational research, further enhanced by the establishment of the Centre for Personalised Medicine (a partnership between WHG and St Anne’s College).
The first year includes taught modules (including genomics, statistics, bioinformatics and epidemiology with theoretical and practical classes), a literature review and two short research projects. These will inform the choice of a DPhil project for the final three years of the programme.
For more information, see the Medical Sciences Division website.
Julian Knight is Professor of Genomic Medicine at the University of Oxford and Tutorial Fellow at Merton College. He trained as a clinician scientist, studying Medicine at the University of Cambridge and the University of Edinburgh before completing his DPhil at the University of Oxford at the Weatherall Institute of Molecular Medicine in 1998. He developed his research interest in the functional genomics of immunity working in Oxford at the Wellcome Centre for Human Genetics (WHG) and at Harvard University in the Department of Molecular and Cellular Biology. Since 2005 he has worked at the WHG as a Principal Investigator and as an Honorary Consultant Physician at the Oxford University Hospitals NHS Trust. The core interest of the lab's research is how genetic variation between individuals modulates genes critical to mounting an appropriate immune and inflammatory response and may contribute to susceptibility to autoimmune and infectious disease.