Shanghai Jiao Tong University
University of Washington
Luis CezeVice President, AI Systems Software · NVIDIAResearcher↗
Researcher · Academic · Engineer
Tianqi Chen
NVIDIADistinguished Engineer
Carnegie Mellon UniversityAssociate Professor
Chen created XGBoost, a library that became a standard for learning from tables of business and scientific data[1], and TVM, which helps AI models run efficiently across different chips.[2] His open-source tools turned machine-learning systems research into infrastructure used throughout industry.[3]
Career & education
Current rolesNVIDIA2024-presentDistinguished EngineerCarnegie Mellon University2026-presentAssociate Professor
NVIDIA2024-presentCarnegie Mellon University2026-presentPreviouslyCarnegie Mellon University2020-2026Assistant Professor
OctoML2019-2024Co-founder
Carnegie Mellon University2020-2026OctoML2019-2024Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations130,362As of Nov 1, '26
citations+4,457Since last snapshot, Oct 1, '26
References
- XGBoost: A Scalable Tree Boosting Systemarxiv.org
The original paper credits Chen and explains XGBoost’s use in machine-learning challenges.
- TVM: An Automated End-to-End Optimizing Compiler for Deep Learningusenix.org
Chen and colleagues describe optimizing models for a range of hardware.
- Tianqi Chen — Carnegie Mellon Universityece.cmu.edu
CMU identifies Chen as the creator of widely adopted machine-learning systems including XGBoost and TVM.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
