Manuel Faysse
Scholar

Manuel Faysse

Google Scholar ID: ew4xsR4AAAAJ
CentraleSupélec - Université Paris Saclay
Natural Language ProcessingMachine LearningPrivacy
Citations & Impact
All-time
Citations
472
 
H-index
8
 
i10-index
8
 
Publications
15
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Published papers in top international venues (ICLR, ICML, EMNLP, TMLR, COLM), featured in the press (MIT Tech Review, Nature Magazine, etc.), gave invited talks at Meta, Amazon, IBM, etc., and listed as a top AI innovation of 2024 (State of AI, Tech Radar).
Research Experience
  • Worked as a Research Scientist at Illuin Technology on various NLP use cases, notably deep multimodal models for Document ML and neural information retrieval. Now a PhD student focusing on industrial applications of large language models.
Education
  • Master's in Robotics and Data Science from EPFL; PhD student at CentraleSupélec (Université Paris Saclay), supervised by Pierre Colombo.
Background
  • Interested in applied NLP and ML Privacy, but curious about (way too) many other things. After pretraining at EPFL with a master’s in Robotics and Data Science, had an awesome research stint with the Computational Privacy Group at Imperial College London.
Miscellany
  • His PhD is funded through the CIFRE French program in collaboration with Illuin Technology, where he currently holds a Staff Research Scientist position, and spends a minor share of his time advising and accompanying various R&D efforts in the LLM and Vision LLM space.