Blacksburg, VA, United States of America

Steve Jan

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Steve Jan. Retrieved from https://idiyas.com/inventor/steve-jan-wx8ecjvl

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Steve Jan - Innovator in Causal Reasoning for Machine Learning

Introduction

Steve Jan is an accomplished inventor based in Blacksburg, VA (US). He has made significant contributions to the field of machine learning, particularly in the area of causal reasoning. His innovative work has led to the development of techniques that facilitate better explanations of model predictions.

Latest Patents

Steve Jan holds a patent titled "Causal reasoning for explanation of model predictions." This patent provides techniques that enable a system to generate one or more explanations for a machine learning model's predictions. The explanations are based on causal relationships determined between feature data and dataset point samples associated with those relationships. He has 1 patent to his name.

Career Highlights

Steve Jan is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in artificial intelligence and machine learning.

Collaborations

Throughout his career, Steve has collaborated with notable colleagues, including Vatche Isahagian and Vinod Muthusamy. These collaborations have further enriched his work and contributed to the innovative solutions he has developed.

Conclusion

Steve Jan is a prominent figure in the realm of machine learning, with a focus on causal reasoning. His contributions through his patent and work at IBM highlight his commitment to advancing technology and improving the interpretability of machine learning models.

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]
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