
About
Professor Darren Price is a Professor of Particle Physics and Associate Dean for Engagement in the Faculty of Science and Engineering at the University of Manchester. His research focuses on dark matter searches, particle detector development, and high-energy physics experiments. He leads the SOLAIRE project to establish a UK dark matter observatory and is a key member of the ATLAS Collaboration at CERN and the DarkSide-20k experiment in Italy. He holds a University Presidential Fellowship and previously held STFC Ernest Rutherford and Marie Curie Research Fellowships.
Education:
- PhD in Experimental Particle Physics, Lancaster University (2000s)
- MSc in Experimental Particle Physics, University of Manchester
- MA Mathematical Tripos, University of Cambridge
Research Interests:
- Direct dark matter detection using liquid argon Time Projection Chambers
- Development of cryogenic silicon photosensors for rare event observatories
- Machine learning applications in particle physics
- Weak boson fusion interactions and Higgs boson decays
- Open Data/Open Science initiatives
Scientific Awards:
- EU Marie Curie Intra-European Fellowship (2013)
- IPPP Senior Experimental Fellowship (2016)
- University Presidential Fellowship (2018)
- STFC Ernest Rutherford Fellowship (2015)
- Turing Fellowship (2019)
Advising & Grants:
- Director of STFC Centre for Doctoral Training in Data Intensive Science
- Lead on SOLAIRE dark matter observatory project
- Member of UKRI-STFC GridPP7 Peer Review Panel
- Recipient of multiple research fellowships and grants
Labs/Teams:
- Particle Physics Group at University of Manchester
- ATLAS Collaboration at CERN
- DarkSide-20k Collaboration (Gran Sasso Lab)
Research fields
Dark matter searchesSilicon photosensor/semiconductor particle detector developmentQuantum sensors for low mass/energy rare phenomenaApplications of machine learning to particle physicsWeak boson fusion interactions at TeV-scale energiesB-PhysicsQuantum ChromodynamicsRare Higgs boson decaysDouble parton scatteringNovel searches for low mass states in high-energy proton-proton interactionsOpen Data/Open Science initiatives
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