Scholar
Daniel R. Jiang
Google Scholar ID: XXeNb58AAAAJ
Research Scientist, Meta; Adjunct Professor, University of Pittsburgh
Citations & Impact
Citations
1,927
H-index
13
i10-index
15
Publications
20
Co-authors
66
list available
Publications
Resume (English only)
Research Experience
- A Research Scientist at Meta and an Adjunct Professor at the University of Pittsburgh.
Education
- Received a Ph.D. in Operations Research and Financial Engineering from Princeton University.
Background
- Research interests include reinforcement learning, RLHF (Reinforcement Learning from Human Feedback), Bayesian optimization, and adaptive experimentation. More broadly, he is interested in sequential decision-making from the perspectives of both operations research and AI. His recent work on RLHF for generative ads has been integrated into Facebook and Instagram's advertising systems.
Miscellany
- Email: danielrjiang@gmail.com
