Tri Dao

tri [at] tridao (dot) me
Assistant Professor of Computer Science at Princeton University.
Chief Scientist at Together AI.
CV (updated 05/2025)
Previously: PhD, Department of Computer Science, Stanford University
Research Interests
Machine learning and systems, with a focus on efficient training and inference:
- Hardware-aware algorithms.
- Sequence models with long-range memory.
Current PhD Students
latest posts
selected publications
- Marconi: Prefix Caching for the Era of Hybrid LLMsIn Machine Learning and Systems (MLSys) , 2025
- Mamba: Linear-Time Sequence Modeling with Selective State SpacesConference on Language Modeling (COLM), 2023
- Monarch: Expressive Structured Matrices for Efficient and Accurate TrainingIn International Conference on Machine Learning (ICML) , 2022