Moscow, Russia

Daniil Polykovskiy

This inventor holds 9 USPTO granted patents and 4 published patent applications. Top assignee: Insilico Medicine IP Limited. Active years: 2022-2026.

USPTO Granted Patents = 9 

% Patents Active = 88.9

Average Co-Inventor Count = 5.7

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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9 patents (USPTO):Explore Patents

Title: Daniil Polykovskiy: Innovator in Computational Biology

Introduction

Daniil Polykovskiy is a prominent inventor based in Moscow, Russia. He has made significant contributions to the field of computational biology, holding a total of 8 patents. His work focuses on developing innovative methods for generating compounds with biological activity.

Latest Patents

One of his latest patents is titled "Workflow for generating compounds with biological activity against a specific biological target." This computer-implemented method involves receiving input of a biological target and utilizing a generative model, such as a tensorial reinforcement learning model, trained with reference compounds. The process includes generating structures of compounds, prioritizing them based on specific criteria, and processing these structures to obtain hit structures. Additionally, he has developed a patent for a "Mutual information adversarial autoencoder," which outlines a method for generating objects by processing datasets to obtain latent data and comparing them to determine differences.

Career Highlights

Daniil Polykovskiy is currently employed at Insilico Medicine IP Limited, a company known for its cutting-edge research in artificial intelligence and drug discovery. His innovative approaches have positioned him as a key figure in the intersection of technology and biology.

Collaborations

He collaborates with notable colleagues, including Aleksandr M Aliper and Alexander Zhebrak, who contribute to the advancement of their shared research goals.

Conclusion

Daniil Polykovskiy is a leading inventor whose work in computational biology is paving the way for new advancements in drug discovery and biological research. His contributions are significant in the ongoing evolution of this critical field.

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