Examiner Chuong D Ngo has allowed 1,107 of 1,370 decided applications in Computer Architecture, Software, and Information Security.
Chuong D Ngo maintains an allowance rate of 81% across more than a thousand decided applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). The examiner's public record spans five art units within this technology center. Allowance rates across these art units range from 70% to 90%, reflecting variation in the decided application sets within each unit. The 81% pooled figure represents the aggregate of allowed and abandoned applications across all five art units and does not predict the outcome of any specific application.
This record aggregates Chuong D Ngo's decided applications across five distinct art units in TC 2100. The pooled allowance rate of 81% describes historical disposition data, not a forecast for any individual case. When an examiner works across multiple art units, the overall figure represents a weighted average and masks unit-by-unit variation (here, 70% to 90%). This pooled statistic alone does not characterize how any particular application will be examined.
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.
Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.
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.
Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.
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.
Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.
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.
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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 July 14, 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.
Rejection rates. Each §-rate is the share of this examiner's applications that drew at least one office-action rejection in which that statutory ground appears; applications with no rejection on record are excluded, and because grounds can co-occur the four do not sum to 100%. The art-unit figure beside each is the unweighted mean of the per-examiner rates across the art unit, published for §101 and §103 only. Beside the overall allowance rate we show a benchmark: for a single-art-unit examiner it is exactly that art unit's average, labeled “art-unit average”; for an examiner spanning several art units it is the “weighted peer average” — the per-art-unit averages, weighted by this examiner's application count in each — labeled distinctly because it is a blended figure, not any single art unit's average. Both are built from the same per-art-unit averages the panels show.
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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