Charles Blundell
Scholar

Charles Blundell

Google Scholar ID: f31mvPsAAAAJ
Research Scientist at DeepMind
Machine Learning
Citations & Impact
All-time
Citations
33,244
 
H-index
46
 
i10-index
64
 
Publications
20
 
Co-authors
51
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications: A list of published papers can be found on Google Scholar and DBLP.
Research Experience
  • Work Experience: Research Director/Principal Scientist at DeepMind.
Education
  • PhD in Machine Learning; Institution: Gatsby Unit, UCL; Supervisor: Yee Whye Teh.
Background
  • Research Interests: Deep Learning, Reinforcement Learning. Bio: A research director/principal scientist at DeepMind, leading a team developing algorithms that learn at scale.
Miscellany
  • Email Addresses: charles@deepmind.com or cblundell@google.com