Mikhail Figurnov

Title: Mikhail Figurnov: Innovator in Protein Structure Prediction

Introduction

Mikhail Figurnov is a prominent inventor based in London, GB. He has made significant contributions to the field of protein structure prediction, utilizing advanced neural network techniques. His innovative approach has the potential to impact various areas of biological research and drug development.

Latest Patents

Mikhail Figurnov holds a patent for a method titled "Protein structure prediction from amino acid sequences using self-attention neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a predicted structure of a protein specified by an amino acid sequence. The method involves obtaining a multiple sequence alignment for the protein, determining initial embeddings for pairs of amino acids, processing these embeddings through a pair embedding neural network, and ultimately predicting the protein's structure based on the final embeddings.

Career Highlights

Mikhail Figurnov is associated with DeepMind Technologies Limited, a leading company in artificial intelligence research. His work at DeepMind focuses on leveraging machine learning techniques to solve complex biological problems. His innovative contributions have positioned him as a key figure in the intersection of AI and life sciences.

Collaborations

Mikhail has collaborated with notable colleagues, including John Jumper and Andrew W Senior. These collaborations have further enhanced the research and development efforts in the field of protein structure prediction.

Conclusion

Mikhail Figurnov's work in protein structure prediction exemplifies the innovative spirit of modern science. His contributions through patents and collaborations continue to pave the way for advancements in biotechnology and artificial intelligence.