Thomas Fel
Scholar

Thomas Fel

Google Scholar ID: _Rsjt9kAAAAJ
Kempner Fellow, Harvard University
InterpretabilityDeep LearningComputer VisionVision InterpretabilityNeuro Interpretability
Citations & Impact
All-time
Citations
1,152
 
H-index
16
 
i10-index
23
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, including 'Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry,' and presented at various international conferences. Recipient of the 2025 AFIA National Best PhD Thesis Award and the 2025 'Signal, Image, Vision' National Best PhD Thesis Award. Also awarded Top Reviewer at ICML 2025.
Research Experience
  • Currently a Research Fellow at the Kempner Institute, Harvard, working closely with Talia Konkle, Demba Ba, and Martin Wattenberg. Interned at Google and GoPro.
Education
  • Ph.D. in Explainable AI from Toulouse (DEEL) and Brown University (Advisor: Thomas Serre).
Background
  • Research Interests: Vision Interpretability, exploring the principles of visual intelligence in artificial and biological systems. Professional Field: Explainable AI.
Miscellany
  • Personal Interests: Not explicitly provided