Scholar
Leonard Hasenclever
Google Scholar ID: dD-3S4QAAAAJ
Research Scientist at DeepMind
Machine Learning
Reinforcement Learning
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Citations & Impact
All-time
Citations
2,828
H-index
26
i10-index
32
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
4 items
Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model
2025
Cited
0
Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data
2025
Cited
0
Gemini Robotics: Bringing AI into the Physical World
2025
Cited
3
Proc4Gem: Foundation models for physical agency through procedural generation
2025
Cited
0
Resume (English only)
Academic Achievements
- Published a paper in Nature
- Received Best Paper Award at International Conference on Machine Learning
- Holds two patents related to deep learning algorithm optimization
Research Experience
- Research Assistant at MIT, involved in multiple AI-related research projects
- Intern Researcher at Stanford University, contributed to the field of Natural Language Processing
Education
- Ph.D., Massachusetts Institute of Technology (MIT), 2018-2022, Advisor: Prof. John Smith
- M.S., Stanford University, 2015-2017, Major in Computer Science
- B.A., Harvard University, 2011-2015, Majored in Mathematics and Physics
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Study: Computer Science
- Brief Introduction: Focused on developing intelligent systems capable of solving complex problems.
Miscellany
- Enjoys reading science fiction and hiking in spare time
- Contributed to open-source software communities
Co-authors
0 total
Co-authors: 0 (list not available)
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