Salt Lake City, UT, United States of America

Imran Saeedul Haque

This inventor holds 4 USPTO granted patents and 8 published patent applications. Top assignee: Recursion Pharmaceuticals, Inc.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Imran Saeedul Haque. Retrieved from https://idiyas.com/inventor/imran-saeedul-haque-vt317iko

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

USPTO Granted Patents = 4 

% Patents Active = 75.0

Average Co-Inventor Count = 9.7

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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4 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Imran Saeedul Haque

Introduction:

Imran Saeedul Haque is a notable inventor based in Salt Lake City, UT, whose work has significantly contributed to the field of biology and technology through innovative patent applications. With a total of three patents to his name, Haque has demonstrated a commitment to advancing the intersection of machine learning and biological mapping.

Latest Patents:

One of Haque's latest patents focuses on utilizing machine learning and digital embedding processes to generate digital maps of biology and user interfaces for evaluating map efficacy. This patent details a system that receives perturbation data for various experiment units and generates embeddings using a machine learning model. The innovative approach includes aligning and aggregating these embeddings to facilitate robust comparisons, showcasing a novel methodology for enhancing the analysis of biological data.

Career Highlights:

Imran Saeedul Haque has made significant strides in his career, particularly in his role at Recursion Pharmaceuticals, Inc., a company known for its emphasis on harnessing technology to drive breakthroughs in drug discovery and development. His expertise in machine learning applications in biological contexts has positioned him as a leading figure in his field.

Collaborations:

Throughout his career, Haque has collaborated with talented individuals such as Nathan Henry Lazar and Conor Austin Forsman Tillinghast. Together, they share a vision of leveraging technology to accelerate the understanding of complex biological systems, fostering an environment of innovation and teamwork.

Conclusion:

Imran Saeedul Haque's contributions to the realm of biological mapping through machine learning are paving the way for future advancements. His patents not only reflect his ingenuity but also highlight the collaborative effort within the scientific community. As he continues to push the boundaries of innovation at Recursion Pharmaceuticals, the impact of his work will likely resonate within both the fields of technology and biology for years to come.

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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