Research Group
We are a research group at Princeton University led by professor Tri Dao.
Research Topics
Machine learning and systems, with a focus on efficient training and inference:
- Hardware-aware algorithms.
- Sequence models with long-range memory.
Recent Blog Posts
| Jun 15, 2026 | ReplaySSM: Cache SSM Inputs, Not State |
|---|---|
| Apr 22, 2026 | SonicMoE: A Hardware-Efficient and Software-Extensible Blueprint for Fine-Grained MoEs |
| Mar 30, 2026 | Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon |
| Mar 16, 2026 | Mamba-3 Part 2 - Methodological Deep Dive |
| Mar 16, 2026 | Mamba-3 Part 1 |
Faculty
Ph.D. Students
Zhuoqing Song
Master's Students
