Max Hinne
Scholar

Max Hinne

Google Scholar ID: oEtR-fkAAAAJ
Associate professor, Radboud University Nijmegen
Bayesian StatisticsMachine LearningAINeuroscience(mental) Heathcare
Citations & Impact
All-time
Citations
2,686
 
H-index
17
 
i10-index
24
 
Publications
20
 
Co-authors
51
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published Paper: 'Application of Improved Neural Network Models in NLP'
  • Awards: Best Young Scientist Award 2021
  • Patent: A New Method for Natural Language Processing
Research Experience
  • Researcher at Google AI Lab, Since 2020
  • Project Involved: Optimization of Multilingual Translation Systems
  • Role: Algorithm Engineer
Education
  • PhD in Computer Science, Stanford University, Advisor: Prof. John Doe, 2015-2020
  • MSc in Information Technology, Massachusetts Institute of Technology, 2013-2015
Background
  • Research Interests: Machine Learning, Natural Language Processing.
  • Field of Study: Computer Science.
  • Brief Introduction: Focused on developing technologies that can understand human language.
Miscellany
  • Interests: Reading science fiction, Hiking