Abu Dhabi, United Arab Emirates

Aleksandr Aliper

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Insilico Medicine IP Limited. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aleksandr Aliper. Retrieved from https://idiyas.com/inventor/aleksandr-aliper-19ll7616

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Aleksandr Aliper

Introduction

Aleksandr Aliper is a prominent inventor based in Abu Dhabi, AE. He has made significant contributions to the field of machine learning and artificial intelligence. His work focuses on developing advanced models that can generate new objects with specific properties.

Latest Patents

One of his notable patents is titled "Subset conditioning using variational autoencoder with a learnable tensor train induced prior." This innovative model, known as Variational Autoencoder with Tensor Train Induced Prior (VAE-TTLP), allows for the generation of new objects, such as molecules, that possess specific biological activities. The VAE-TTLP can be trained to omit certain properties of the object while still achieving a desired outcome.

Career Highlights

Aleksandr Aliper is currently associated with Insilico Medicine IP Limited, where he applies his expertise in artificial intelligence to advance research in drug discovery and development. His work has the potential to revolutionize how new compounds are designed and tested.

Collaborations

He collaborates with notable colleagues, including Aleksandrs Zavoronkovs and Alexander Zhebrak, who share his passion for innovation in the field of computational biology.

Conclusion

Aleksandr Aliper's contributions to the field of artificial intelligence and his innovative patent demonstrate his commitment to advancing technology for practical applications. His work continues to inspire future developments in the industry.

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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