Junqi Jiang
Scholar

Junqi Jiang

Google Scholar ID: NcFKI8kAAAAJ
PhD Candidate, Imperial College London
Trustworthy AIExplainable AIInterpretability
Citations & Impact
All-time
Citations
124
 
H-index
5
 
i10-index
4
 
Publications
14
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Published works in top venues like NeurIPS, ICLR, AAAI, IJCAI, AAMAS, KR conferences, and Artificial Intelligence, Information Fusion journals.
Research Experience
  • Interned at J.P. Morgan AI Research from June to December 2024; Teaching assistant during PhD, supervising thesis for undergraduate and taught postgraduate students.
Education
  • PhD in Computer Science (Apr 2022 - Sept 2025) at the Computational Logic and Argumentation group, Department of Computing, Imperial College London, supervised by Professor Francesca Toni; BEng Electrical Engineering from The University of Edinburgh and South China University of Technology; MSc Computer Science from Imperial College London.
Background
  • Research interest: Trustworthy AI, robust explainable AI, model multiplicity. Professional field: Computer Science. Background: Currently an AI Research Scientist at J.P. Morgan's Trustworthy AI Center of Excellence, supervised by Professor Francesca Toni, working with Dr. Francesco Leofante and Dr. Antonio Rago.
Miscellany
  • Interested in the application of machine learning in city planning and Formula One race strategy.