Hi, I’m Peter and I live in London. I’m a theoretical physicist, migrated into machine learning. My main research interests at the moment are in physics-informed mahcine learning, operator learning and applied probability. I presently am one of eleven Turing Research Fellows at The Alan Turing Institute. I also am an Honorary Fellow at Imperial College London.

Before that, I was a research associate at The Alan Turing Institute, working with Andrew Duncan on scalable methods for statistical inference and machine learning. And before even that, I worked in classical statistical mechanics of soft matter, developing models of interface motion and phase transitions. I did my PhD at Imperial College London, in the area of computational methods for PDEs, arising in classical density functional theory. My PhD thesis supervisor was Serafim Kalliadasis.