Suyi Zhang

Post-doctoral Researcher

University of Oxford


I am a post-doctoral researcher at the Nuffield Department of Neurosciences (NDCN), at University of Oxford. My current research focuses on understanding how humans learn and adapt to pain and relief by modelling brain imaging (fMRI/EEG) and physiological data with learning algorithms, supervised by Dr Ben Seymour. I am also interested in developing brain-computer interface and decoded neurofeedback systems for chronic pain treatment.


  • Pain systems neuroscience
  • Human brain imaging / modelling
  • Biomedical engineering
  • Machine learning


  • PhD in Computational Neuroscience, 2018

    University of Cambridge

  • MSc in Biomedical Engineering, 2012

    University of Oxford

  • BEng in Biomedical Engineering, 2011

    University of Sheffield

Recent Talks

Brain-machine interfaces for pain enhances endogenous modulation of experienced pain.

Invited talk as International Travel Award recipient.

The Reinforcement Learning Model of Pain.

Invited talk for the symposium ‘Avoidance Behaviour in Pain: Insights from Associative Learning, Computational Modelling and Brain Imaging’.


EEG-based neurofeedback system

Building an EEG-based brain-machine interface system as a prototype device for pain treatment.

Modelling aversive learning with fMRI

Using reinforcement learning algorithms to model human brain imaging and behavioural data during the learning of pain and relief.

Deep learning for variant calling

Generating pileup images from DNA sequencing data and using convolutional neural nets for variant calling.