For a detailed CV, please see here.

Education

• Ph.D in Cognitive Neuroscience
   Institute of Psychology, Chinese Academy of Sciences, China, 2018
• B.Ed. in Applied Psychology
   China Women’s University, China, 2013
  

Work experience

• 2024.12 – present: Visiting Scholar
  • Department of Psychiatry, University of Oxford
• 2024.05 – present: Leverhulme Early Career Fellow
  • Centre for Human Brain Health, University of Birmingham
• 2025.10 – 12: Data Science Fellow
  • Faculty.AI, London
• 2025.06 – 07: AI Resident
  • The Machine Learning Institute, London
• 2018.08 – 2024.04: Postdoc Researcher
  • Centre for Human Brain Health, University of Birmingham
    

Grants & Awards

• 2025 Data Science upskilling award, University of Birmingham, UK (£1,000)
• 2024 Leverhulme Trust Early Career Fellowship, UK (PI: £248,000)
• 2024 Royal Society International Exchanges Cost Share Programme (NSFC), UK (PI: £12,000)
• 2022 Winner of the Pump Prime funds at the University of Birmingham, UK (£500)
• 2021 Best Postdoc Paper at Centre of Human Brain Health, University of Birmingham, UK (£100)
• 2017 Mingde scholarship, Chinese Academy of Sciences, China (≈ £300)
• 2013 – 2017 Scholarship for graduates, Chinese Academy of Sciences, China (≈ £300 per year)
  

Skills

• Advanced analytical expertise in neuroimaging data
  • Time-series analysis of MEG, scalp and intracranial EEG
  • Power spectrum, phase extraction, cross-frequency coupling, Granger causality
• In-depth knowledge of machine learning techniques
  • Natural language processing, large language models (transformers)
  • Neural networks (CNN, RNN)
  • Support vector machine (SVM), K-means clustering, random forests
• Strong programming skills**
  • Python, R, MATLAB, SQL, Git, Docker
• Expertise in designing and conducting experiments
  • Eye-tracking and behavioural methods (A/B tests)
• Proficiency in stimulus presentation for psychology studies
  • Psychtoolbox and PsychoPy
• Extensive experience with statistical analysis
  • Parametric test (t-test, ANOVA)
  • Non-parametric test (cluster-based permutation)
  • Linear mixed-effects modelling
  • Multivariate pattern analysis (RSA decoding)