Dr Jensen Ang Wei Jie

​Dr Ang is an Associate Consultant with the Department of Neurosurgery at the National Neuroscience Institute. He obtained his medical degree and a BMedSci (Hons) in Neuroscience from the University of Edinburgh before returning to Singapore for Neurosurgery residency. His clinical interests revolve around neuro-endoscopy and the use of minimally invasive techniques to remove deep seated lesions in the brain.

Dr Ang is committed to incorporating artificial intelligence and new technology into clinical practice and education. He is also devoted to inspiring the next generation of physicians through insightful teaching and dedicated mentoring.

• ​FRCS (Surgical Neurology), Royal College of Surgeons of Edinburgh, UK 
• MRCS, Royal College of Surgeons of Edinburgh, UK
• MBChB, The University of Edinburgh, UK
• BMedSci (Hons), The University of Edinburgh, UK
  

• ​Associate Consultant, Department of Neurosurgery, National Neuroscience Institute

• Top 5 Chief Residents, SingHealth Residency Leadership Programme, 2024
• Best Junior Research Award (Commendation), NNI-Neuroscience ACP Research Day, 2023
• Outstanding Resident Award, Residency in SingHealth Excels (RiSE) Awards, 2021
• Hero Award, Singapore Health Quality Service Awards, 2021
• Best Medical Officer Award, Department of Neurosurgery, National Neuroscience Institute (SGH Campus), 2016

• Zhang JJY, Ang J, Saffaro SE, et al. Repetitive transcranial magnetic stimulation for motor recovery after stroke: a systematic review and meta-analysis of randomized controlled trials with low risk of bias. Neuromodulation. 2024.
• Ang J, Zhang JJY, Yam M, et al. Clinical application of a stereotactic frame-specific 3D-printed attachment for deep brain stimulation surgery. World Neurosurgery. 2023 Feb 1; 170: e777-83.
• Ng ZY, Ang WJJ, Nawaz I. Computer-designed PEEK implants versus titanium mesh in alloplastic cranioplasty: a retrospective single-surgeon, single-center study. Journal of Craniofacial Surgery 2014; 25(2): e185-9.
• Ang WJJ, Hopkins ME, Brennan PM, et al. Validating the use of smartphone-based accelerometers for performance assessment in a simulated neurosurgical task. Neurosurgery 2014; 10 Suppl 1:57-64.