This inventor holds 1 USPTO granted patent. Top assignee: S&p Global Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Saurabh Paul and Climate Projection Innovation.
Introduction
Saurabh Paul is an inventor based in New York, NY (US), associated with S&P Global Inc. His patent work addresses the use of machine learning to generate high-resolution climate projections.
Latest Patents
Paul is named on 1 patent: “Method and System for Dynamic Generation of High-Resolution Climate Projections.” The invention describes converting past climate data from one spatial resolution to another, then training and validating a deep-learning model to map the relationship between the datasets. The trained model is applied to climate projections to generate projections at the desired higher resolution.
Career Highlights
The patent reflects an application of deep learning to climate-data processing. It outlines a method for using historical data to support the generation of more spatially detailed climate projections.
Collaborations
Paul’s listed coworkers include Yuri Katz and Alka Dagar. The available information identifies his association with S&P Global Inc. but does not specify the coworkers’ roles in the patent.
Conclusion
Saurabh Paul’s patent focuses on using deep learning to transform climate data and produce high-resolution projections, highlighting a practical innovation in climate modeling.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile