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◈ USPTO PATENT EXAMINER STATISTICS

Examiner Steven Huynh Phung

TECH CENTER 2100 · 1 ART UNIT · 47 DECIDED APPLICATIONS · LAST ACTION JUN 2026
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 1 ART UNIT
74%vs 75% art-unit average1 pt

Examiner Steven Huynh Phung has allowed 35 of 47 decided applications in Computer Architecture, Software, and Information Security.

allowed35abandoned12pending23· pending excluded from the rate
DATA UPDATED JULY 14, 2026
// READING THIS EXAMINER

What the data says.

Steven Huynh Phung maintains a public record in Technology Center 2100 (Computer Architecture, Software, and Information Security). Across dozens of decided applications, the examiner's allowance rate is 74%. This rate reflects the share of applications in the decided category—those allowed or abandoned—within the pooled record. The examiner works across 1 art unit. The allowance rate is a historical measure of decided applications and does not characterize the examiner's approach to individual applications or predict outcomes in any pending or future case.

// HOW TO READ THESE NUMBERS

How to read these numbers.

This pooled record aggregates all decided applications across the examiner's art unit(s). The 74% allowance rate describes past dispositions and represents correlational data—the percentage of applications that were allowed or abandoned relative to all decided applications. Aggregate figures describe historical outcomes, not predictions. Individual application outcomes depend on claim scope, specification support, prior art, and examination responses, among other factors.

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 →

// BY ART UNIT

The record, art unit by art unit.

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.

◈ PRIMARY · ART UNIT 2125
70 APPS · 74% ALLOWANCE

Primarily examines neural-network / biological-model computing, and machine learning.

74% allowance (of decided)▏ art-unit average 75%
DISPOSITION35 / 12 / 23allowed / abandoned / pending
FIRST ACTION37.9 moart unit avg 26.4 mo
TOTAL PENDENCY53.2 moart unit avg 39 mo
// REJECTION PROFILE
REJECTION RATE = SHARE OF THIS EXAMINER'S APPLICATIONS THAT DREW ≥1 OFFICE-ACTION REJECTION IN WHICH THE GROUND APPEARS

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.

§101 — Subject-matter eligibility88%art unit 51%+37 pts
§102 — Anticipation (novelty)98%no art-unit benchmark
§103 — Obviousness100%art unit 88%+12 pts
§112 — Written description & definiteness82%no art-unit benchmark
// INTERVIEW SPLIT

Allowance rate for applications with an examiner interview versus without one.

WITH INTERVIEW86%allowance share
WITHOUT INTERVIEW58%+28 pt difference

A correlation, not proof that interviews cause allowances. Based on 28 decided applications with an interview and 19 without.

// FAQ

Questions about Examiner Steven Huynh Phung

  • What is Steven Huynh Phung's overall allowance rate?
    The allowance rate is 74%, measured across dozens of decided applications in the pooled record.
  • How many art units does this examiner cover?
    The examiner has a public record spanning 1 art unit within Technology Center 2100.
  • Does the pooled allowance rate predict the outcome of my application?
    No. The pooled allowance rate is a historical aggregate and is not a prediction of any specific application's outcome.
  • What technology center does this examiner work in?
    Technology Center 2100 (Computer Architecture, Software, and Information Security).
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METHODOLOGY & DISCLOSURES

Methodology. This page pools every art unit in which Examiner Steven Huynh Phung 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: 70 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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