John Jumper is a scientist whose work showed that AI can solve a decades-old problem in biology: predicting the three-dimensional shape of proteins from their amino acid sequences. Working with Demis Hassabis at Google DeepMind in London, he led the development of AlphaFold2, released in 2020, which can predict the structures of virtually all known proteins.
In 2024 he received the Nobel Prize in Chemistry. According to the official Nobel Prize citation, the award was given “for protein structure prediction.” The Nobel committee noted that the breakthrough has enabled advances across many fields, including drug development and environmental research.
For business readers, Jumper’s work is one of the clearest examples of AI delivering a concrete scientific breakthrough with practical impact, and its recognition with a Nobel Prize marks how seriously the achievement is regarded.