Scholar
Justin Fu
Google Scholar ID: T9To2C0AAAAJ
UC Berkeley
Citations & Impact
Citations
10,679
H-index
22
i10-index
25
Publications
20
Co-authors
14
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications can be found on his Google Scholar profile.
Research Experience
- Currently a machine learning researcher at Waymo Research. Research areas include reinforcement learning, natural language processing, and robotics.
Education
- Ph.D. from UC Berkeley, advised by Sergey Levine; B.S. also from UC Berkeley, advised by Pieter Abbeel.
Background
- A machine learning researcher currently working at Waymo Research. Broadly interested in understanding how to engineer machines to solve complex decision-making problems, including developing models robust to distribution shift, adversarial inputs, and extrapolating to novel data; engineering ML systems that are 99.999% reliable with safety guarantees; and designing ML for better long-horizon reasoning instead of memorization and pattern recognition.
