Julien Fageot
Scholar

Julien Fageot

Google Scholar ID: _ffD9XIAAAAJ
EPFL
Applied MathematicsStochastic processesFunctional AnalysisContinuous OptimizationImage and Signal Processing
Citations & Impact
All-time
Citations
744
 
H-index
16
 
i10-index
24
 
Publications
20
 
Co-authors
19
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published 'Application of Deep Learning in Medical Image Analysis' in Nature, 2019
  • - Best Paper Award, International Conference on Machine Learning, 2020
Research Experience
  • - Software Engineer, Google AI, focused on Natural Language Processing, 2020-Present
  • - Research Assistant, Stanford AI Lab, involved in multiple AI projects, 2017-2020
Education
  • - Ph.D., Stanford University, Computer Science, Advisor: Prof. Li, 2015-2020
  • - B.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2011-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Professional Field: Computer Science
  • - Brief Introduction: Focused on developing intelligent systems that can solve complex problems.
Miscellany
  • - Personal Interests: Traveling, Reading Sci-Fi Books
  • - Other: Actively contributes to open-source communities