All people
JD

Researcher · Academic

Jason D. Lee

UC BerkeleyAssociate Professor of EECS and Statistics

Lee helped explain why a simple training method used throughout modern AI can often escape unproductive solutions and continue toward a better result. His theoretical work clarifies why widely used learning techniques succeed in practice despite difficult mathematical landscapes.

Career & education

Current role
2025-present
Associate Professor of EECS and Statistics
Previously
Associate Professor
Researcher

Work 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.
1 snapshots
Citation snapshot on Jul 15, '2627,874Jul 15, '26
citations27,874As of Jul 15, '26
For today’s citation count and per work, visit Google Scholar.
About this profile

Based on public sources. If accuracy is important, verify details using the links or references.

For corrections, updates, or requests to remove information, contact us.

Reviewed August 24, 2026 · Checked for accuracy and new information.

Sharing card