Darren Price

Prof

  • Professor of Particle Physics, Associate Dean for Engagement (Public, Civic and Outreach) Faculty of Science and Engineering, Particle Physics Group

Accepting PhD Students

PhD projects

* Direct dark matter detection on the DarkSide-20k experiment* Quantum sensors for future fundamental physics detectors* Searches for new phenomena with the ATLAS experiment* Artificial intelligence / machine learning applications to fundamental physics such as conditional generative models and normalising flows to enable fast, high-fidelity simulations, inverse inference, and optimisation of experimental design in particle physics, including surrogate detector models and novel analysis strategies.

Personal profile

Biography

Darren Price is a particle physicist and Professor of Particle Physics based at the University of Manchester. His research focuses on direct searches for dark matter and neutrino measurements using liquid argon Time Projection Chambers in international experimental facilities, development of cryogenic radiopure and high quantum efficiency silicon photosensors with single photon sensitivity for future rare event observatories, and quantum sensor development and exploitation for dark matter and quantum gravity discovery. He also works on precision measurements and searches for new phenomena in high-energy QCD and electroweak interactions in high-energy proton-proton collisions at the Large Hadron Collider at CERN.

He is a member of the ATLAS Collaboration at the Large Hadron Collider, at CERN, Geneva, and the DarkSide-20k and DarkSide-50 direct dark matter detection experiments based in the Gran Sasso National Laboratory (LNGS) in Assergi, Italy. He is also a member of the DZero Collaboration at Fermilab, Chicago, and previously performed research on the SuperNEMO neutrinoless double beta decay experiment.

He previously held an STFC Ernest Rutherford Fellowship, University Presidential Fellowship, and an EU-funded Marie Curie Research Fellowship at Manchester, a Senior Experimental Fellowship at the IPPP Durham, and a Turing Fellowship at the Alan Turing Institute, London, where he led the "Developing machine learning-enabled experimental design, model building and scientific discovery" project. Before that he was a postdoctoral fellow with Indiana University based at Fermilab, Chicago and CERN, Geneva.

Darren is Director of the STFC Centre for Doctoral Training in Data Intensive Science (4IR) at the University of Manchester. This Centre is a consortium across Manchester, Lancaster, and Sheffield Universities, with Manchester as the lead institute, covering data-intensive machine learning and AI-enabled fundamental research in astrophysics, particle physics, nuclear physics and computer science with industry/public/third sector engagement, placements, with joint training activities.

From 2024, he serves as Associate Dean for Engagement (Public, Civic and Outreach) for the Faculty of Science and Engineering.

Qualifications

University Presidential Fellowship, University of Manchester.
Turing Fellowship, The Alan Turing Institute, London, UK.
UKRI-STFC Ernest Rutherford Fellowship, University of Manchester.
Marie Curie Intra-European Fellowship, University of Manchester.
Postdoctoral Research Fellow, Indiana University, USA.

Leadership and Management Diploma (Distinction), Corndel Management School.
Certificate in Leadership and Management (Distinction), Chartered Management Institute.
PhD Experimental Particle Physics, Lancaster University, UK.
MSc Experimental Particle Physics (Distinction), University of Manchester, UK.
MA Mathematical Tripos, University of Cambridge, UK.

Research interests

Dark matter searches

Silicon photosensor / semiconductor particle detector development

Quantum sensors for low mass/energy rare phenomena

Applications of machine learning to particle physics

Weak boson fusion interactions at TeV-scale energies

B-Physics

Quantum Chromodynamics

Rare Higgs boson decays

Double parton scattering

Novel searches for low mass states in high-energy proton-proton interactions

Reinterpretations, re-use, and Open Data / Open Science initiatives with particle physics data

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 10 - Reduced Inequalities

External positions

UKRI-STFC Projects Peer Review Panel, Science & Technology Facilities Council (STFC)

Jan 2026 → …

Royal Society University Research Fellowships (Panel A(i)) extended research appointment panel, The Royal Society

Oct 2025 → …

Chair, UKRI-STFC GridPP7 Peer Review Panel, Science & Technology Facilities Council (STFC)

Aug 2022Aug 2023

Education and Outreach Coordinator, ATLAS Collaboration, CERN (European Organisation for Nuclear Research)

Feb 2022Mar 2024

Particle Physics Grants Panel, Science and Technology Facilities Council (STFC - Technology)

Oct 2019Mar 2025

Turing Fellow, Alan Turing Institute

Apr 2019Aug 2023

UK representative on the Collaboration Board, International Particle Physics Outreach Group Collaboration

Jul 2017Jul 2021

ATLAS B-Physics and Light States physics group coordinator, CERN (European Organisation for Nuclear Research)

1 Oct 201430 Sept 2016

Areas of expertise

  • QC Physics
  • Particle Physics
  • Machine Learning
  • Simulation
  • Open Science
  • Open Data
  • semiconductor detectors
  • quantum sensors

Research Beacons, Institutes and Platforms

  • Institute for Data Science and AI
  • Digital Futures
  • Sustainable Futures

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