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: Moksh Mukesh Kumar Jain: Innovator in Active Learning Technologies
Introduction
Moksh Mukesh Kumar Jain is a notable inventor based in Montreal, Canada. He has made significant contributions to the field of active learning and representation learning. His innovative work focuses on discovering pairwise interactions, which has implications in various scientific and technological domains.
Latest Patents
Moksh holds a patent titled "Active learning for discovering pairwise interactions via representation learning." This patent describes systems, non-transitory computer-readable media, and methods that implement a framework for active learning to discover pairwise interactions. The disclosed systems generate individual perturbation embeddings from representations of cells exposed to different perturbations. By combining these embeddings, the systems can predict pairwise interactions and measure biological interactions effectively.
Career Highlights
Moksh is currently employed at Recursion Pharmaceuticals, Inc., where he applies his expertise in active learning and representation learning. His work at Recursion Pharmaceuticals focuses on leveraging advanced computational techniques to enhance drug discovery and biological research.
Collaborations
Moksh has collaborated with talented individuals such as Aniket Rajiv Didolkar and Jason Siyanda Hartford. These collaborations have contributed to the advancement of research and innovation in their respective fields.
Conclusion
Moksh Mukesh Kumar Jain is a pioneering inventor whose work in active learning technologies is shaping the future of biological research and drug discovery. His contributions are valuable to the scientific community and highlight the importance of innovation in addressing complex challenges.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile