Examiner Yuhui R Pan has allowed 525 of 626 decided applications (84%) in Computer Architecture, Software, and Information Security.
Yuhui R Pan's public record spans three art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Across 626 disposed applications, 525 were allowed, yielding an 84% allowance rate. The examiner's record shows variation across the three art units, with allowance rates ranging from 72% to 87%. This pooled figure represents a historical snapshot of decided applications and does not constitute a prediction for any individual filing.
A pooled record aggregates data across multiple art units, masking unit-specific variation. The overall allowance rate of 84% reflects past dispositions across all three units combined and describes historical outcomes, not prospects for any particular application. To understand performance variation by art unit, refer to the separate per-unit breakdown. Aggregate statistics are correlational; they do not predict individual case outcomes.
These are aggregate statistics from this examiner's past public record — not predictions about any specific application. The per-art-unit figures below show how the record varies across art units. Our approach to patent prosecution →
Each section benchmarks this examiner against that art unit's average. Figures are this examiner's own public record within the art unit; the overall rate above pools them.
Primarily examines control or regulating systems.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 170 decided applications with an interview and 268 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 51 decided applications with an interview and 63 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 23 decided applications with an interview and 51 without.
Methodology. This page pools every art unit in which Examiner Yuhui R Pan has a public record within Technology Center 2100. Statistics are computed from publicly available USPTO records, refreshed on a recurring schedule. This page's data was last updated June 25, 2026. The overall allowance rate is total allowed divided by total decided applications (allowed plus abandoned) across all art units — not an average of the per-art-unit rates; pending applications are excluded. Figures are rounded for display. Pooled sample: 669 applications.
Lynch LLP is not affiliated with, endorsed by, or sponsored by the United States Patent and Trademark Office. Examiner statistics are derived from publicly available USPTO data.
These statistics describe past examiner behavior and do not predict the outcome of any particular application. Past results do not guarantee future outcomes. Where this page compares an examiner's allowance rate to an art-unit average, that comparison is a factual description of the public record, not a characterization of any individual examiner's conduct or competence.
This page is for general informational purposes and is not legal advice. No attorney-client relationship is formed by viewing it. Full disclaimers →
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