Dr. Tri Dao

Assistant Professor

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Biography

Tri Dao is an Assistant Professor in the Department of Computer Science at Princeton University and a chief scientist at Together AI. He completed his Ph.D. in Computer Science at Stanford University in 2023. His research focuses on the intersection of machine learning and systems, with interests that include sequence models, long-range memory, structured matrices, and compact deep learning models. He has contributed to advancements in FlashAttention and Mamba, showcasing his expertise in developing efficient machine learning systems.

Research Interests

Machine Learning Sequence Models Long-Range Memory Structured Matrices Compact Deep Learning Models

Requirements for Princeton University

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Speaking
Required:27
IELTS
Speaking
Required:8
Prerequisites
Bachelor's degree in engineering or science Strong background in mathematics, materials, physics, or related engineering
Application Checklist
  • Academic Statement of Purpose
  • Personal Statement
  • Resume/CV
  • Three Letters of Recommendation
  • Transcripts
  • Application Fee
Specialization Notes

GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.