We aim to help in the fight against disease by applying tools from computational physics to molecular-scale problems.
Biomedical advances increasingly require interdisciplinary approaches and computational tools are increasingly able to address the time-scales and length-scales necessary to be a part of these advances. We focus on the molecular scale, using tools from statistical and computational physics, to study problems from the basic to the applied in the development of cancer therapeutics. We work at the interfaces between the life and physical sciences, and within the physical sciences, between chemistry and physics.
Over the last few years, we have developed a special interest in the application of machine learning and statistics to biophysical and biomedical problems.