This inventor holds 1 USPTO granted patent. Top assignee: Recursion Pharmaceuticals, 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: Sadie Rae Ingle: Innovator in Tech-Bio Exploration
Introduction
Sadie Rae Ingle is a pioneering inventor based in Suttons Bay, MI (US). She has made significant contributions to the field of tech-bio exploration through her innovative patent. Her work focuses on utilizing language machine learning models to enhance computerized bio-activity discovery processes.
Latest Patents
Sadie holds a patent titled "Utilizing language machine learning models for autonomous executions of computerized tech-bio exploration tools." This patent describes systems, non-transitory computer-readable media, and methods for employing language machine learning models (LLMs) as autonomous reasoners. These systems are designed to navigate and execute multiple layers of a computerized bio-activity discovery pipeline within a tech-bio exploration system. The disclosed systems enable users to provide tech-bio queries through an interactive prompt interface, allowing the LLM to execute tasks in the bio-activity discovery pipeline. This innovation aims to generate and retrieve bio-activity data efficiently.
Career Highlights
Sadie is currently employed at Recursion Pharmaceuticals, Inc., where she continues to develop her groundbreaking ideas. Her work at the company emphasizes the integration of advanced machine learning techniques in the field of biotechnology.
Collaborations
Some of her notable coworkers include Benjamin John Mabey and Caleb Ryan Phillips. Their collaborative efforts contribute to the innovative environment at Recursion Pharmaceuticals, Inc.
Conclusion
Sadie Rae Ingle is a remarkable inventor whose work in tech-bio exploration is paving the way for future advancements in the field. Her innovative patent showcases the potential of language machine learning models in enhancing bio-activity discovery processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile