Professor Darren Price is a Professor of Particle Physics at the University of Manchester. His research interests include the search for new physics phenomena using data collected in high-energy proton collisions at the Large Hadron Collider at CERN, and direct dark matter detection with the DarkSide experiment in Italy, and tackling the challenges of data filtering, classification, simulation and modelling associated with exploration of the high rate and large volume datasets produced at the Large Hadron Collider at CERN and other particle research facilities.
Professor Price read Mathematics at Cambridge, followed by an MSc and PhD in Experimental Particle Physics at the Universities of Manchester and Lancaster. Following his PhD, he moved to Indiana University in the USA as a postdoctoral researcher with secondment to the Fermi National Accelerator Laboratory in Chicago and to the Large Hadron Collider at CERN in Geneva. Following research in the USA and Switzerland, Prof. Price joined the University of Manchester. He serves as Director of the STFC 4IR Centre for Doctoral Training in Data Intensive Science whose remit spans Particle Physics, Astrophysics, Computer Science and Nuclear Physics at the Universities of Manchester, Sheffield and Lancaster.
Darren Price's Turing research explores how we can best make use of the large datasets recorded by large scientific experiments like the Large Hadron Collider in the search for the unknown (such as exploring the mystery of dark matter) through the development of new semi-supervised and unsupervised machine learning tools to maximise the value of research outputs, enhance reinterpretation, reusability and reproducibility of data, and enable the automation of aspects of scientific discovery across multiple domains.