Tim Bakker
Scholar

Tim Bakker

Google Scholar ID: R5tE454AAAAJ
Qualcomm AI, Netherlands
Reinforcement learningAI safety
Citations & Impact
All-time
Citations
111
 
H-index
4
 
i10-index
3
 
Publications
13
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • - Published multiple papers such as 'Active Learning Policies for Solving Inverse Problems' (NeurIPS ReALML Workshop 2023), 'Learning objective-specific active learning strategies with Attentive Neural Processes' (ECML 2023), etc.
  • - Participated in various academic conferences and media appearances, such as the Dutch National AI Debate, Pakhuis de Zwijger's panel on AI risks, etc.
Research Experience
  • - Senior ML researcher at Qualcomm AI
  • - Completed research internships at Facebook AI Research (FAIR) and Qualcomm AI
Education
  • - PhD in Machine Learning, 2024, University of Amsterdam, Advisor: Max Welling
  • - MSc in Theoretical Physics, 2016, University of Amsterdam
  • - BSc in Physics and Astronomy, 2014, University of Amsterdam
Background
  • Senior machine learning researcher, focusing on LLM reasoning and safety. Interests include AI safety, Bayesian methods, effective altruism, and musical theatre.
Miscellany
  • Concerned about the risks of transformative AI and has written on this topic in the Dutch national newspaper NRC.