CV

Education

• M.Sc in Theoretical Physics, Perimeter Institute and University of Waterloo, 2025 - 2026 (Expected)
• M.E. in Bioengineering, University of Auckland, 2022 - 2023
• B.Sc(Hons) in Mathematics, University of Auckland, 2021 - 2022
• B.Sc in Mathematics and Physics, University of Canterbury, 2018 - 2020

Work experience

• Research Data Engineer
  • Charles Sturt University
• Research Associate
  • University of Sydney
  • Supervisor: Professor Ganna Pogrebna

Publications

Adaptive Neural Quantum States: A Recurrent Neural Network Perspective

McNaughton, J., & Hibat‑Allah, M. (2025). Adaptive neural quantum states: A recurrent neural network perspective. In Proceedings of the Machine Learning and the Physical Sciences Workshop at NeurIPS 2025.

Adaptive Neural Quantum States: A Recurrent Neural Network Perspective

Technological Complexity and Risk Reduction: Using Digital Twins to Navigate Uncertainty in Nuclear Weapons Decision-making and EDT Landscapes

Full-Precision and Ternarised Neural Networks with Tunnel-Diode Activation Functions: Computing and Physics Perspectives

Synthetic MRI Generation from CT Scans for Stroke Patients

McNaughton, J., Holdsworth, S., Chong, B., Fernandez, J., Shim, V., & Wang, A. (2023). Synthetic MRI Generation from CT Scans for Stroke Patients. BioMedInformatics, 3(3), 50. https://doi.org/10.3390/biomedinformatics3030050

Machine Learning for Medical Image Translation: A Systematic Review

McNaughton, J., Fernandez, J., Holdsworth, S., Chong, B., Shim, V., & Wang, A. (2023). Machine Learning for Medical Image Translation: A Systematic Review. Bioengineering, 10(9), 1078. https://doi.org/10.3390/bioengineering10091078

Teaching

Mathematics Teacher

Senior Teaching Assistant for Phys101

Teaching Assistant for Phys101

Teaching Assistant for Astr112

Service and leadership

• 8 Peer Reviews completed