Hamilton, Canada

Miranda Delaney Macaskill

This inventor holds 1 USPTO granted patent. Top assignee: Recursion Pharmaceuticals, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Miranda Delaney Macaskill. Retrieved from https://idiyas.com/inventor/miranda-delaney-macaskill

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

Calculating rank

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Miranda Delaney Macaskill

Introduction

Miranda Delaney Macaskill is a prominent inventor based in Hamilton, Canada. 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

Miranda 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 as autonomous reasoners. These systems navigate and execute multiple layers of a computerized bio-activity discovery pipeline. The technology allows users to provide tech-bio queries through an interactive prompt interface, enabling the generation and retrieval of bio-activity data.

Career Highlights

Miranda is currently employed at Recursion Pharmaceuticals, Inc., where she applies her expertise in machine learning and bio-activity discovery. Her innovative approach has positioned her as a key player in the intersection of technology and biology.

Collaborations

Some of her notable coworkers include Benjamin John Mabey and Caleb Ryan Phillips. Their collaborative efforts contribute to the advancement of tech-bio exploration tools and methodologies.

Conclusion

Miranda Delaney Macaskill's work exemplifies the potential of integrating machine learning with biological research. Her contributions are paving the way for future innovations in the tech-bio sector.

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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