Examiner Chuong D Ngo has allowed 1,107 of 1,370 decided applications (81%) in Computer Architecture, Software, and Information Security.
Chuong D Ngo maintains a public record across 5 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 1,370 disposed applications, the examiner allowed 1,107 and abandoned 263, for an overall allowance rate of 81%. Across the art units in this examiner's portfolio, allowance rates range from 70% to 90%, reflecting variation in the record by individual art unit. This pooled figure represents the aggregate outcome of applications decided across all five art units during the period of record.
This pooled record aggregates results across multiple art units in TC 2100. The 81% allowance rate is a historical summary of decided applications and does not predict the outcome of any specific future application. Allowance rates vary by art unit (70% to 90%), and individual applications may fall into any of those art units. Pooled statistics describe the past record; they are not predictions and do not account for the specific facts, claims, or procedural posture of any single case.
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 software engineering, and error detection, correction, and monitoring.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 173 decided applications with an interview and 578 without.
Primarily examines data-processing methods for specific functions, and processing data by its order or content.
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 286 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Primarily examines program control and execution.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 21 decided applications with an interview and 52 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Methodology. This page pools every art unit in which Examiner Chuong D Ngo 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: 1,370 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.
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