Ithaca, NY, United States of America

Sebastian Steffen

This inventor holds 1 USPTO granted patent. Top assignees: International Business Machines Corporation, Massachusetts Institute of Technology. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sebastian Steffen. Retrieved from https://idiyas.com/inventor/sebastian-steffen-0xhya5c1

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 = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Sebastian Steffen

Introduction

Sebastian Steffen is a notable inventor based in Ithaca, NY (US). He has made significant contributions to the field of task demand forecasting through his innovative patent. His work focuses on utilizing machine learning to predict future task shares across various occupations and industries.

Latest Patents

Sebastian holds a patent titled "Skills and tasks demand forecasting." This invention involves obtaining structured information about tasks for multiple occupations across various industries over a specified time frame. The process includes computing a time series of normalized occupation task shares and training a computerized machine learning model to predict future task shares. This patent showcases his expertise in integrating technology with workforce analytics.

Career Highlights

Throughout his career, Sebastian has worked with prestigious organizations such as IBM and the Massachusetts Institute of Technology. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in his field.

Collaborations

Sebastian has collaborated with talented individuals like Subhro Das and Wyatt Clarke. These partnerships have enriched his work and fostered innovation in the projects they undertook together.

Conclusion

Sebastian Steffen's contributions to the field of task demand forecasting highlight his innovative spirit and dedication to advancing technology. His patent and career achievements reflect his commitment to improving workforce analytics through machine learning.

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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