Technology areas: Biotechnology & Pharmaceuticals • Chemistry & Materials
6 pending office actions • 6 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 7 patents granted in the last 365 days
Syracuse University manages 6 pending office actions in the Chemistry & Materials technology area. These actions are distributed among 6 distinct examiners and 6 distinct art units, showing a high degree of technical diversification. The involvement of 6 distinct art units indicates that the university's chemical research spans a wide array of classifications within the materials science field. This broad distribution requires the university to manage six separate prosecution tracks, each with its own unique examiner preferences and art unit requirements.
LABRANCHE, BROOKE N is the busiest examiner for the institution, currently responsible for 1 pending office action. Despite the 6 pending office actions in total, no single examiner is handling more than one case, as the workload is distributed among 6 distinct examiners. This lack of examiner concentration means that prosecution strategies must be tailored to the specific tendencies of six different individuals across six separate art units. Each of the 6 distinct art units presents a unique set of examination standards, requiring a tailored approach for each of the six pending matters currently under review.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 1 (17%) |
| §103 only | 1 (17%) |
| Multi-statute (no §101) | 4 (67%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| LABRANCHE, BROOKE N | 1 | 72.1% | +17.0% |
| FRASER, STEWART A | 1 | 86.0% | +14.4% |
| WONG, ERIC K | 1 | 83.8% | +7.4% |
| BERA, HENA RAKESHKUMAR | 1 | 100.0% | +0.0% |
| WHITE, ASHLEY TAYLOR | 1 | 23.8% | +36.7% |
| VASSELL, MEREDITH ABBOTT | 1 | 29.9% | +45.8% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18523375 | POLYMER-COMPOSITE MATERIAL WITH LIGHT CONCENTRATING AND SPECTRAL SHIFTING PROPERTIES | WONG, ERIC K | 1d overdue |
| 18567876 | ANTI-WETTING, NON-STICK SURFACES FROM A PHOTOPOLYMER-NANOPARTICLE FORMULATION | FRASER, STEWART A | — |
| 18372852 | GENERALIZABLE NANOPORE SENSOR FOR HIGHLY SPECIFIC PROTEIN DETECTION AT SINGLE-MOLECULE PRECISION | BERA, HENA RAKESHKUMAR | — |
| 18053517 | ADAPTIVE RECOMBINANT NANOWORMS FROM GENETICALLY ENCODABLE STAR AMPHIPHILES | WHITE, ASHLEY TAYLOR | — |
| 16612647 | METHODS AND SYSTEMS FOR ASSESSING THE PRESENCE OF ALLELIC DROPOUT USING MACHINE LEARNING ALGORITHMS | VASSELL, MEREDITH ABBOTT | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18573512 | STEERABLE ROBOTIC NEEDLES WITH TUNABLE STIFFNESS SEGMENTS FOR LARGE CURVATURE MANEUVERS | LABRANCHE, BROOKE N | 168d overdue |
| 18567876 | ANTI-WETTING, NON-STICK SURFACES FROM A PHOTOPOLYMER-NANOPARTICLE FORMULATION | FRASER, STEWART A | — |
| 18053517 | ADAPTIVE RECOMBINANT NANOWORMS FROM GENETICALLY ENCODABLE STAR AMPHIPHILES | WHITE, ASHLEY TAYLOR | — |
| 16612647 | METHODS AND SYSTEMS FOR ASSESSING THE PRESENCE OF ALLELIC DROPOUT USING MACHINE LEARNING ALGORITHMS | VASSELL, MEREDITH ABBOTT | — |
| Art Unit | Apps |
|---|---|
| 3771 | 1 |
| 1724 | 1 |
| 2874 | 1 |
| 1798 | 1 |
| 1653 | 1 |
| 1687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18573512 | STEERABLE ROBOTIC NEEDLES WITH TUNABLE STIFFNESS SEGMENTS FOR LARGE CURVATURE MANEUVERS | LABRANCHE, BROOKE N | 3771 | §103 | Final Rejection | 168d overdue | Pending | Dec 22, 2023 |
| 18567876 | ANTI-WETTING, NON-STICK SURFACES FROM A PHOTOPOLYMER-NANOPARTICLE FORMULATION | FRASER, STEWART A | 1724 | §102§103§112 | Non-Final OA | — | Pending | Dec 07, 2023 |
| 18523375 | POLYMER-COMPOSITE MATERIAL WITH LIGHT CONCENTRATING AND SPECTRAL SHIFTING PROPERTIES | WONG, ERIC K | 2874 | §102§103 | Final Rejection | 1d overdue | Pending | Nov 29, 2023 |
| 18372852 | GENERALIZABLE NANOPORE SENSOR FOR HIGHLY SPECIFIC PROTEIN DETECTION AT SINGLE-MOLECULE PRECISION | BERA, HENA RAKESHKUMAR | 1798 | §102§103Other | Final Rejection | — | Pending | Sep 26, 2023 |
| 18053517 | ADAPTIVE RECOMBINANT NANOWORMS FROM GENETICALLY ENCODABLE STAR AMPHIPHILES | WHITE, ASHLEY TAYLOR | 1653 | §103§112 | Final Rejection | — | Pending | Nov 08, 2022 |
| 16612647 | METHODS AND SYSTEMS FOR ASSESSING THE PRESENCE OF ALLELIC DROPOUT USING MACHINE LEARNING ALGORITHMS | VASSELL, MEREDITH ABBOTT | 1687 | §101§112 | Non-Final OA | — | Pending | Nov 11, 2019 |
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Start Free TrialSyracuse University has 6 pending office actions as of October 2026, spread across 6 art units and 6 examiners.
Brooke N Labranche has the most, with 1 of Syracuse University's pending office actions.
Mostly Chemistry & Materials (USPTO Tech Center 1700), based on where its pending office actions are examined.
