Craig McNeile

Dr. Craig McNeile is a Lecturer in Theoretical Physics at the University of Plymouth's School of Engineering, Computing and Mathematics. His research focuses on lattice Quantum Chromodynamics (QCD), data science applications, quantum computing, and high-performance computing (HPC). He is a member of the HPQCD collaboration and leads projects on muon g-2 calculations and quantum algorithms. His work bridges fundamental physics with applied areas like windfarm optimization and medical data analysis.

Education: Ph.D. in Physics from the University of Edinburgh (1992). Postdoctoral roles at the University of Utah, University of Kentucky, and others. Advanced SUPA Research Fellowship (2006–2009).

Research Interests: Lattice QCD for hadron spectroscopy and vacuum polarization, machine learning for customer churn prediction and medical imaging, quantum computing for optimization problems, and HPC tools for large-scale simulations.

Recent Work: Contributions to the muon g-2 anomaly via lattice QCD, development of variational quantum eigensolver (VQE) algorithms, and collaborations on turbine layout optimization using quantum computing.

Awards: Advanced SUPA Research Fellowship (2006–2009). Grants include STFC funding for lattice field theory projects and EPSRC Impact Acceleration Awards.

Teaching: Program manager for the MSc Data Science and Business Analytics. Teaches courses on quantum computing, HPC, and operational research. Coordinates final-year student projects and placement initiatives.

Outreach: Organizes particle physics masterclasses, public lectures on big data in physics, and collaborates with local industries on data science applications.