Prosecution Insights
Last updated: October 02, 2026

Examiner: MILLER, ALEXANDRIA JOSEPHINE

Tech Center 2100 • Art Units: 2142 2147

This examiner grants 24% of resolved cases

Analysis

Alexandria Josephine Miller is an examiner in Tech Center 2100 and Art Unit 2142, with 33 resolved cases. Her allowance rate is 21.2%, which suggests a challenging prosecution environment for applicants. The median days to allowance is 1438, indicating a lengthy process for those who eventually secure a patent grant under her review.

However, the data reveals a significant interview lift of 70.0%, which is a critical metric for strategy development. This lift suggests that while the baseline allowance rate is 21.2%, the probability of success increases substantially following an interview. For practitioners, this makes interviewing a primary strategic necessity to overcome the low general allowance rate in Art Unit 2142.

The 1438-day median pendency underscores the need for efficient strategies when working with Miller. Given the 33 resolved cases, the 70.0% interview lift stands out as a highly actionable piece of data. Applicants should prioritize interviews early in the process to shift the odds toward a more favorable outcome and navigate the tech center's requirements.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

23.5%
Allow Rate
-31.5% vs TC avg
70
Total Applications
+72.7%
Interview Lift
1446
Avg Prosecution Days
Based on 34 resolved cases, 2023–2026

Rejection Statute Breakdown

29.4%
§101 Eligibility
4.4%
§102 Novelty
56.0%
§103 Obviousness
6.8%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18148779 DATA PROCESSING METHOD AND ELECTRONIC DEVICE Final Rejection NEC CORPORATION
17487497 METHOD AND SYSTEM FOR PROBABLY ROBUST CLASSIFICATION WITH MULTICLASS ENABLED DETECTION OF ADVERSARIAL EXAMPLES Final Rejection Robert Bosch GmbH
17375556 METHOD AND DEVICE FOR THE FUSION OF SENSOR SIGNALS USING A NEURAL NETWORK Non-Final OA Robert Bosch GmbH
17899728 Hardware-Aware Progressive Training Of Machine Learning Models Non-Final OA Google LLC
18527487 ENSEMBLE CLASSIFIER FOR IMPUTATION OF MOBILITY DATA OF UNKNOWN SUBJECT Non-Final OA Tata Consultancy Services Limited
18060705 DISTRIBUTED TRAINING METHOD BASED ON END-TO-END ADAPTION, AND DEVICE Final Rejection BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
17704866 SELF INSTANTIATING ALPHA NETWORK Non-Final OA RED HAT, INC.
18067503 COMPRESSION OF MODEL WEIGHTS FOR DISTRIBUTED AND FEDERATED LEARNING Final Rejection VMware LLC
18762333 TRAINING NEURAL NETWORKS ON ARBITRARILY LARGE DATA FILES Non-Final OA SRI International
17494176 TRAINING A MACHINE LEARNING MODEL USING INCREMENTAL LEARNING WITHOUT FORGETTING Final Rejection Actimize Ltd.

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