This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Insilico Medicine IP Limited. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: The Innovative Mind of Maksim Kuznetsov
Introduction
Maksim Kuznetsov is a prominent inventor based in Montréal, Canada. He has made significant contributions to the field of machine learning and artificial intelligence, particularly through his innovative patent. His work focuses on the intersection of technology and biology, showcasing the potential of advanced algorithms in generating new molecular structures.
Latest Patents
Maksim Kuznetsov holds a patent titled "Subset conditioning using variational autoencoder with a learnable tensor train induced prior." This groundbreaking model, known as the Variational Autoencoder with a Learnable Tensor Train Induced Prior (VAE-TTLP), is designed to generate new objects, such as molecules, with specific properties and biological activities. The VAE-TTLP can be trained to produce desired outcomes even when certain properties of the input data are omitted, demonstrating its versatility and effectiveness in molecular design. He has 1 patent to his name.
Career Highlights
Kuznetsov is currently employed at Insilico Medicine IP Limited, a company that specializes in leveraging artificial intelligence for drug discovery and development. His role involves applying his expertise in machine learning to create innovative solutions that can revolutionize the pharmaceutical industry.
Collaborations
Maksim has collaborated with notable colleagues, including Aleksandr Aliper and Aleksandrs Zavoronkovs. Together, they work on advancing the capabilities of AI in the field of medicine, contributing to the development of new therapeutic strategies.
Conclusion
Maksim Kuznetsov is a visionary inventor whose work in machine learning and molecular design is paving the way for future innovations in biotechnology. His contributions are not only advancing scientific knowledge but also have the potential to impact the healthcare industry significantly.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile