Palo Alto, CA, United States of America

Ashish Goel

This inventor holds 32 USPTO granted patents and 4 published patent applications and 1 EPO patent. Top assignees: Twitter, Inc., Stripe, Inc., Netlogic Microsystems, Inc. Active years: 2012-2026.

USPTO Granted Patents = 32 

% Patents Active = 65.6

 

Average Co-Inventor Count = 3.7

ph-index = 7

Forward Citations = 300(Granted Patents)


Location History:

  • San Francisco, CA (US) (2016 - 2022)
  • Palo Alto, CA (US) (2012 - 2023)
  • Stanford, CA (US) (2019 - 2024)

Company Filing History:


Years Active: 2012-2026

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Areas of Expertise:
Entity Recognition
Real Time Messaging
Distributed Processing
Circle Of Trust
Content Resonance
Message Prioritization
Digital Image Analysis
Network Assessment
Pattern Matching
Private Data Features
Social Network Security
Metrics Evaluation
32 patents (USPTO):Explore Patents

Title: Innovations and Patents of Ashish Goel in Palo Alto, CA

Introduction

Ashish Goel, based in Palo Alto, California, is an accomplished inventor who has been awarded 31 patents throughout his career. His work primarily focuses on enhancing network systems and data processing methodologies.

Latest Patents

Among his latest innovations, one notable patent is titled "Using one or more networks to assess one or more metrics about an entity." This patent describes systems and methods for predicting a metric value for an entity associated with a query node in a graph representing a network. The innovation utilizes a user's profile as the query node to estimate various metrics based on the connections to both a whitelist of "good" users and a blacklist of "bad" users in the network. Furthermore, it allows for actions such as accepting or rejecting a transaction based on a final score derived from the query node's connections.

Another significant patent, "Shared learning across separate entities with private data features," employs transfer learning paradigms to classify across entities without accessing sensitive data. This system enables one entity to train a model with its own data, allowing other parties to use the scores for their own modeling without revealing sensitive features. This innovative approach enhances collaborative capabilities while maintaining data privacy, providing valuable results for classifying unlabeled events or items.

Career Highlights

Ashish Goel's professional journey includes impactful positions at leading technology companies. He has notably contributed to advancements at Twitter, Inc. and Stripe, Inc. His expertise in data processing and network systems has facilitated numerous innovations that enhance user experience and data security.

Collaborations

Throughout his career, Ashish Goel has collaborated with prominent colleagues such as Utkarsh Srivastava and Peter Lofgren. These collaborations have fostered innovative research and development, further elevating the field of data analytics and network systems.

Conclusion

With his extensive portfolio of 31 patents, Ashish Goel represents a significant figure in the landscape of innovations related to network systems and data processing. His contributions not only showcase his expertise as an inventor but also reflect the collaborative nature of modern technological advancements. Through his work, Goel continues to drive progress in privacy-conscious data classification and predictive modeling.

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