Teddy Zhao

Vision

I research human brain by using proton magnetic resonance spectroscopy and computational approaches with a focus on brain cancer and epilepsy from discovery to translational studies. I am interested in theoretical and methodological studies of proton magnetic resonance spectroscopy for its applications in imaging neuroscience. I am also interested in developing novel computational algorithms, which consider the physiological meaning of metabolites and nature of brain tissue, for achieving better clinical outcomes. I am keen to support open science by contributing to scientific software and making it available for multi-disciplinary researchers.

Themes

• Proton magnetic resonance spectroscopy and spectroscopic imaging in neuro-oncology and epilepsy.
• Computational approaches in translational neuroimaging.

Future research

• Proton and multi-nuclear magnetic resonance spectroscopic imaging for paediatric brain tumour diagnosis, prognosis and survival analysis.

Projects

• Computational Neuro-oncology
  • Noise suppressed proton MRS in adult brain tumour classification, with Prof Franklyn A Howe (2023 — present)
  • Multi-type paediatric brain tumour classification, with Dr John R Apps and Prof Andrew C Peet (2023 — present)
  • MIROR: the clinical decision support system for paediatric neuro-oncology, with Prof Andrew C Peet and Dr John R Apps (2022 — present)
  • Multi-modal imaging based paediatric brain tumour classification, with Prof Andrew C Peet (2020 — 2021)
  • Multi-class brain tumour classification through metabolite profiles, with Prof Andrew C Peet (2017 — 2018)
• Computational Neuroscience
  • BIDS for PsPM, Prof Dominik R Bach (2022 — 2024)
  • PsychoPhysiological Modelling, Prof Dominik R Bach (2020 — 2024)
• Magnetic Resonance Spectroscopy
  • Adaptive wavelet noise suppression, with Prof Andrew C Peet and Prof Franklyn A Howe (2017 — 2019)
  • Understanding hippocampal metabolite ratios at the subfield level, with Dr Bing Zhang and Prof Yu Sun (2015 — 2017)
• Photoplethysmogram
  • Estimating heart rate from photoplethysmogram in physical activities, Dr Feng Wang (2014 — 2016)

Other Interests

• Architecture
• Literature
• Typography