Kieran Murphy

Kieran is a physicist entranced by information theory, leveraging machine learning to track down information in general relationships through data.  Recent projects have focused on developing methods to localize information: deconstructing complex systems into intelligible approximations — including the Mona Lisa and a simulated glass under shear — and switching around a standard representation learning method to isolate information out of mere groupings of data.