My research sits at the interface between physical acoustics, biomedical ultrasound, numerical methods, and high performance computing. In particular, I am interested in developing fast and accurate models of how ultrasound waves travel through the human body. This involves studying many interesting acoustic phenomena from a physical perspective, and then devising novel ways in which these can be captured by a numerical model. Much of my work has been released as an open-source acoustics toolbox for MATLAB called k-Wave. These models have important applications in both ultrasound and photoacoustic imaging, and dosimetry and treatment planning for ultrasound therapy. I work with a multidisciplinary team, and currently collaborate with researchers from a range of backgrounds, including mathematics, physics, computer science, radiology, haematology, oncology, and neurology. I currently teach the acoustics of ultrasound as part of the Department’s undergraduate and masters courses.
Research Poster
HPC Accelerators
Parallel Applications
Performance Analysis and Optimization
Personalized Medicine