Elisa Nguyen
Scholar

Elisa Nguyen

Google Scholar ID: YuBPap8AAAAJ
University of Tübingen
Trustworthy AIExplainable AIMachine LearningHuman Computer Interaction
Citations & Impact
All-time
Citations
825
 
H-index
6
 
i10-index
5
 
Publications
12
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Paper 'A Bayesian Approach To Analysing Training Data Attribution In Deep Learning' accepted at NeurIPS 2023.
  • Paper 'Exploring Practitioner Perspectives On Training Data Attribution Explanations' accepted at XAI in Action Workshop, NeurIPS 2023.
  • Paper 'Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts' accepted at COLM 2024.
  • Preprint 'Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI' (arXiv 2024).
  • Preprint 'Better Training Data Attribution via Better Inverse Hessian-Vector Products' (arXiv 2025).
  • Paper 'Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models' accepted at ICLR HAIC Workshop 2025.
  • Co-organizing the ATTRIB workshop at NeurIPS 2024.
  • Appointed PhD representative for the Tübingen AI Center for the 2024–2025 term.
Research Experience
  • PhD researcher in the Scalable Trustworthy AI group at the University of Tübingen.
  • Summer 2025: Research intern at Microsoft Research, Redmond.
  • Early 2025: Research intern at the Vector Institute in Toronto with Roger Grosse.
  • Contributed to a project at Vector leveraging EKFAC-based preconditioning to improve iHVP approximation convergence.
  • Worked at Airbus for ~2.5 years as an IT project manager for CAD software in both waterfall and agile projects.