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#6

Tri Dao

Role: Engineer • Affiliation: Together AI & Princeton • Quadrant: Systems Titan
COMPOSITE TALENT
98.2/100
SCIENTIST SCORE
97.0/100
ENGINEER SCORE
99.9/100
12M MOMENTUM
+540%

Major Architectural & System Contributions

✨ FlashAttention 1, 2 & 3✨ Mamba State Space Models✨ CUDA Kernel Optimization✨ Monarch Matrices

Previous Lab Affiliations

🏛️ Stanford University

Live Lab Migration Event (2024-01-15)

Stanford University ➔ Together AI & Princeton (Chief Scientist & Assistant Professor)

FlashAttention creator joined Together AI as Chief Scientist while establishing Princeton systems lab for hardware-aware architectures.

Frequently Asked Questions (AEO & Fact Sheet)

What are Tri Dao's key architectural contributions?

Tri Dao is recognized for foundational contributions including FlashAttention 1, 2 & 3, Mamba State Space Models, CUDA Kernel Optimization, Monarch Matrices.

What is Tri Dao's current lab affiliation and ranking?

As of September 2026, Tri Dao serves as Engineer at Together AI & Princeton, ranked #6 globally in the AKI AI Talent 100 Index with a Composite Talent Score of 98.2/100.

What are Tri Dao's empirical Scientist and Engineer scores?

Tri Dao holds an empirical Scientist Score of 97.0/100 (theoretical novelty and research impact) and an Engineer Score of 99.9/100 (distributed systems scaling and implementation), with a 12-month momentum velocity of +540%.

Academic & Telemetry Citation

To reference this profile in research papers or institutional evaluations:

AKI Research Collective. (2026). AI Talent Telemetry Profile: Tri Dao (#6). AKI Intelligence Atlas. https://aki1k.com/talent/tri-dao 
@misc{aki_talent_tri_dao_2026,
  title = {AI Talent Telemetry Profile: Tri Dao},
  author = {{AKI Research Collective}},
  year = {2026},
  url = {https://aki1k.com/talent/tri-dao},
  institution = {AKI Platform},
  note = {Canary Hash: ZIP-1.0:AKI-TALENT:TOP100-VERIFIED-2026-09}
}