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Researcher · Academic

Quanquan Gu

QG

Associate Professor of Computer Science at UCLA

Gu develops mathematical methods for training models when learning is unstable or data is limited. His work provides stronger guarantees for reinforcement learning and optimization, while extending those ideas to language-model alignment and scientific discovery.

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Background

Current role
Associate Professor of Computer Science 2022-present
Previously
2023-presentResearch Scientist,
2015-presentAssistant Professor,
2014-presentPostdoctoral Research Associate,
2010-presentPh.D. student,
About this data

Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.

Last editorial review: August 9, 2026

Citation Trend

1 snapshots
Citation snapshot on Jun 28, '2631,575Jun 28, '26
31,575citations as of Jun 28, '26
For today’s citation count and citations per paper, visit Google Scholar.