Dr Jack Lo Yu Tung

Dr Lo is an Associate Consultant with the Department of Neurosurgery at the National Neuroscience Institute (NNI). His clinical interests are in Epilepsy and Spine surgery, specifically degenerative spine conditions, spine tumour, spinal deformity and pain.

Dr Lo graduated from University College London Medical School with a MBBS degree and an intercalated BSc in Neuroscience. He achieved the highest score in his BSc in Neuroscience (Class Prize) and was the recipient of various awards like Dean's List and Distinction in Medical Sciences. He represented Neurosurgery in the Singapore Chief Residency Programme (SCRP) in 2024 and was the awardee of the SingHealth RiSE Outstanding Resident award, multiple Best Resident Researcher awards and the Prolific Resident award.

He is a surgeon-scientist with an academic interest on neural interface and brain-computer interface systems. He has published over 50 articles in top neurosurgery and neuroscience journals like Nature Reviews, Neuron, The Lancet eClinicalMedicine, Neurosurgery, Journal of Neurosurgery, Journal of Neural Engineering, Archives of Physical Medicine and Rehabilitation. He has received various awards such as NNI ACP Best Junior Researcher 2021, 2022, 2023, 2024, Young Researchers Award 2021, SingHealth Publish! award 2022,2026. His team was the international champion at IEEE System, Man and Cybernetics (SMC) BR41N.IO Hackathon in 2022.

Dr Lo is the recipient of the NMRC Research Training Fellowship award for his fellowship at the USC Neurorestoration Center, Los Angeles, where he worked on various aspects of Neurorestoration under the mentorship of neurosurgeon Prof Charles Liu. He was also a research fellow at the Computational Neuroscience Outcomes Center (CNOC) at Harvard University, working on the use of Artificial Intelligence in Neurosurgery.

• Fellow of the Royal College of Surgeons (Surgical Neurology)
• Member of the Royal College of Surgeons (England) 
• MBBS, University College London Medical School 

• Faculty, Neurosurgery Residency Programme
• Visiting Research Clinician Scientist, Rehabilitation Research Institute of Singapore (RRIS)
• Adjunct Research Fellow, Duke-NUS Medical School

• Best Junior Research Award, 2026, 2024, 2023, 2022
• Singhealth Publish Award, 2026, 2023
• SingHealth RiSE Outstanding Resident Award
• Khoo Pilot Award
• Prolific Resident Award, 2025
• Resident Researcher Award, 2021
• Distinction in Medical Sciences, 2016
• Class Prize (Top in Neuroscience), 2013
• Dean’s list (Overall), University College London
• Societies Colours for Role of Honour, UCLU Surgical Society
• National Bronze Medal, Singapore Biology Olympiad, 2008

• Motor Imagery Brain–Computer Interface (MI-BCI)-Assisted Upper Limb Neurorehabilitation for Acute Stroke During Inpatient Rehabilitation

Please refer to Google Scholar for full list of publications here.

• Lee MJR, Tan AKS, Lo YT, et al. Bypass neural interfaces for paralysis: clinical translation, challenges and future directions. J Neuroeng Rehabil. 2026. doi:10.1186/s12984-026-02082-8.
• Shankar R, Lo YT, Fong CL, Keong N, Chua KSG. Motor imagery brain-computer interface (MI-BCI)-assisted upper limb neurorehabilitation for acute stroke during inpatient rehabilitation: a prospective feasibility study with economic evaluation protocol. J Clin Med. 2026;15(14):5692. doi:10.3390/jcm15145692.
• Zhang JJ, Lo YT, Wee A, et al. An individual patient data meta-analysis on vagal nerve stimulation for recovery from disorders of consciousness. Sci Rep. 2026;16:8766. doi:10.1038/s41598-025-32369-0.
• Lee H, Lee Y, Jiang L, Chen J, Lam WL, Lo YT. Advances in myoelectric neuroprosthetics: a narrative review of current trends, challenges, and future directions. Adv Technol Neurosci. 2025;2(4):204-215. doi:10.4103/ATN.ATN-D-25-00007.
• Lo YT, Lam JL, Jiang L, Lam WL, Edgerton VR, Liu CY. Cervical spinal cord stimulation for treatment of upper limb paralysis: a narrative review. J Hand Surg Eur Vol. 2025;50(6):781-795. doi:10.1177/17531934241307515.
• Lo YT, Jiang L, Lam JLW, et al. Animal models in brain-computer interface research. Nat Rev Bioeng. 2025;3:623-625. doi:10.1038/s44222-025-00313-6.
• Lo YT, Jiang L, Woodington B, et al. Recording of single-unit activities with flexible micro-electrocorticographic array in rats for decoding of whole-body navigation. J Neural Eng. 2024;21(4):046037.
• Lo YT, Lim MJR, Kok CY, et al. Neural interface-based motor neuroprosthesis in poststroke upper limb neurorehabilitation: an individual patient data meta-analysis. Arch Phys Med Rehabil. 2024;105(12):2336-2349.