Scholar
Song Mei
Google Scholar ID: MhDyxdYAAAAJ
Assistant Professor at UC Berkeley
Citations & Impact
Citations
5,483
H-index
28
i10-index
42
Publications
20
Co-authors
70
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of Sloan Research Fellowship and Noether Early Career Scholar Award (Feb/Aug 2025); Google Research Scholar Award and Amazon Research Award (May 2024); paper 'Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm' accepted as Spotlight to NeurIPS 2024 (Sep 2024).
Research Experience
- Currently an Assistant Professor in the Department of Statistics and the Department of Electrical Engineering and Computer Sciences at UC Berkeley; on leave at OpenAI since May 2025; core contributor to GPT-5 and also contributed to GPT-oss.
Education
- Received Ph.D. from Stanford University in June 2020, advised by Andrea Montanari.
Background
- Research interests include language models and diffusion models, theory of deep learning, theory of reinforcement learning, high dimensional statistics, quantum algorithms, and uncertainty quantification. Specializes in data science and AI, with expertise spanning statistics, machine learning, information theory, and computer science.
Miscellany
- Links to Google Scholar, Twitter, and CV available on personal website; Email: songmei@berkeley.edu; Office: Evans 387.
