Bellevue, WA, United States of America

Michele Tufano

This inventor holds 17 USPTO granted patents and 9 published patent applications and 1 EPO patent, primarily in Code Generation Tools. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michele Tufano. Retrieved from https://idiyas.com/inventor/michele-tufano

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 17 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.2

ph-index = 3

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2022-2026

Loading Chart...
Loading Chart...
Areas of Expertise:
Chat Summarization
Unit Test Generation
AI-Driven Tools
Reinforcement Learning
Automated Repair
Source Code Models
Transformers
Debugging Tools
Code Coverage Prediction
Test-Driven Development
Syntax Hierarchy Modeling
17 patents (USPTO):Explore Patents

Title: Innovations of Michele Tufano

Introduction

Michele Tufano is a prominent inventor based in Bellevue, WA (US), known for her significant contributions to the field of software engineering. With a total of 13 patents to her name, she has made remarkable advancements in automated program repair and code generation technologies.

Latest Patents

One of her latest patents is an automated program repair tool that utilizes a neural transformer model with attention to predict the contents of a bug repair in the context of source code containing a bug of an identified bug type. This innovative tool is trained on a large unsupervised corpus of source code using a span-masking denoising optimization objective and is fine-tuned on a large supervised dataset of triplets that include a bug-type annotation, software bug, and repair. The bug-type annotation is derived from an interprocedural static code analyzer, and a bug type edit centroid is computed for each bug type, which is then used in the inference decoding phase to generate the bug repair.

Another notable patent involves code generation through reinforcement learning using code-quality rewards. This deep learning model is trained to predict source code and is tuned for a target source code generation task through reinforcement learning. The reward score considers various code-quality factors and source code metrics, ensuring that the predicted source code is syntactically correct, successfully compiles, executes, and is readable, functionally correct, and covers the necessary aspects.

Career Highlights

Michele Tufano works at Microsoft Technology Licensing, LLC, where she continues to innovate and develop cutting-edge technologies. Her work has significantly impacted the software development industry, particularly in enhancing the efficiency and effectiveness of code repair and generation processes.

Collaborations

Michele collaborates with talented individuals such as Neelakantan Sundaresan and Alexey Svyatkovskiy, contributing to a dynamic and innovative work environment.

Conclusion

Michele Tufano's contributions to software engineering through her patents and work at Microsoft Technology Licensing, LLC, highlight her as a leading inventor in the field. Her innovative approaches to automated program repair and code generation are paving the way for future advancements in technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…