This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Optum Services (Ireland) Limited. 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: Siddharth G Sheshadri: Innovator in Machine Learning Techniques
Introduction
Siddharth G Sheshadri is a prominent inventor based in Dublin, Ireland. He has made significant contributions to the field of machine learning, particularly in the area of causal inference and predictive risk scores. His innovative work has the potential to enhance the accuracy and effectiveness of predictive modeling in various applications.
Latest Patents
Siddharth holds a patent titled "Machine learning techniques for generating impact measures using nonlinear causal inference and predictive risk scores." This patent encompasses various embodiments that provide techniques for improving causal inference modeling with respect to predictive labels in complex predictive domains. The methods include generating positive and negative cohorts of data objects based on predictive labels, calculating impact measures for these cohorts, and deriving object impact measures for specific data objects.
Career Highlights
Siddharth is currently associated with Optum Services (Ireland) Limited, where he applies his expertise in machine learning to develop innovative solutions. His work focuses on enhancing predictive analytics and causal inference, which are critical in making informed decisions based on data.
Collaborations
Some of Siddharth's notable coworkers include Breanndan O Conchuir and Conor John Waldron. Their collaboration contributes to a dynamic work environment that fosters innovation and the development of cutting-edge technologies.
Conclusion
Siddharth G Sheshadri is a key figure in the realm of machine learning, with a patent that showcases his innovative approach to causal inference and predictive modeling. His contributions are paving the way for advancements in data-driven decision-making.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile