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Examiner Ying Yu Chen

TECH CENTER 2100 · 2 ART UNITS · 227 DECIDED APPLICATIONS · LAST ACTION SEP 2023
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 2 ART UNITS
76%vs 74% weighted peer average+2 pts

Examiner Ying Yu Chen has allowed 173 of 227 decided applications in Computer Architecture, Software, and Information Security.

allowed173abandoned54pending0· pending excluded from the rate
The weighted peer average (74%) is each art unit's average below, weighted by this examiner's applications in it (2 art units).
DATA UPDATED JULY 14, 2026
AU 2125 · 80%AU 2122 · 21%
// READING THIS EXAMINER

What the data says.

Ying Yu Chen maintains a public record across 2 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Across hundreds of decided applications, the examiner's allowance rate stands at 76%, meaning that of all applications that reached a final disposition (allowed or abandoned), 76% were allowed. This figure reflects the pooled record and aggregates outcomes across the multiple art units in which the examiner works. The allowance rate is based on decided applications only and excludes pending matters.

// HOW TO READ THESE NUMBERS

How to read these numbers.

This record presents a pooled allowance rate—an aggregate of outcomes across multiple art units in TC 2100. The 76% figure describes what has occurred in the examiner's past decisions and does not predict the outcome of any individual application. Pooled data obscures variation between art units and reflects historical performance only. Any specific application will be examined on its own merits under the relevant patent statutes.

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
213 APPS · 80% ALLOWANCE

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

80% allowance (of decided)▏ art-unit average 75%
DISPOSITION170 / 43 / 0allowed / abandoned / pending
FIRST ACTION26.5 moart unit avg 26.4 mo
TOTAL PENDENCY40.9 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 eligibility72%art unit 51%+21 pts
§102 — Anticipation (novelty)94%no art-unit benchmark
§103 — Obviousness93%art unit 88%+5 pts
§112 — Written description & definiteness90%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW93%allowance share
WITHOUT INTERVIEW50%+43 pt difference

A correlation, not proof that interviews cause allowances. Based on 149 decided applications with an interview and 64 without.

ART UNIT 2122
14 APPS · 21% ALLOWANCE · LIMITED DATA

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

21% allowance (of decided)▏ art-unit average 55%
DISPOSITION3 / 11 / 0allowed / abandoned / pending
FIRST ACTION28 moart unit avg 27.2 mo
TOTAL PENDENCY37.5 moart unit avg 39.3 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 eligibility91%art unit 55%+36 pts
§102 — Anticipation (novelty)100%no art-unit benchmark
§103 — Obviousness91%art unit 83%+8 pts
§112 — Written description & definiteness73%no art-unit benchmark

Based on 14 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.

// FAQ

Questions about Examiner Ying Yu Chen

  • What is Ying Yu Chen's overall allowance rate?
    The examiner's allowance rate is 76% of decided applications (allowed and abandoned combined), pooled across all art units.
  • How many art units does this examiner work in?
    Ying Yu Chen maintains a record across 2 art units in TC 2100.
  • What is the basis for the 76% figure?
    The allowance rate reflects outcomes across hundreds of decided applications. It is a historical aggregate and is not a prediction of any specific application's outcome.
  • What technology areas does this examiner cover?
    The examiner works 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 Ying Yu Chen 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: 227 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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