Dr. John Jumper
John M. Jumper is an American chemist and computer scientist, best known for his work onAlphaFold, an artificial intelligence (AI) system developed by DeepMind, designed to predict the structure of proteins.
He currently serves as a director atDeepMindTechnologies, a subsidiary ofAlphabet Inc. Jumper and his team developed AlphaFold, which solves the long-standing problem of predicting protein folding, a crucial aspect of understanding biological processes and developing new drugs. AlphaFold's success has transformed protein structure research, allowing scientists to access over 200 million predicted protein structures via the AlphaFold Protein Structure Database.
Jumper in 2021 was named inNature’s 10, an annual list of people who made significant impacts in science. In 2022, he won the BBVA Foundation Frontiers of Knowledge Award in Biology and Biomedicine, and the Wiley Prize in Biomedical Sciences. In 2023, he received the Breakthrough Prize in Life Sciences, the Canada Gairdner International Award, and the Albert Lasker Basic Medical Research Award, all shared with his colleagueDemis Hassabis.In 2024, Jumper and Hassabis were jointly awarded theNobel Prize in Chemistryfor their work on AlphaFold.
Jumper's research focuses on using AI and machine learning to solve complex problems in biology, particularly in protein structure prediction. His team at DeepMind used a deep learning approach to create AlphaFold, incorporating biological knowledge into the algorithm to make accurate and rapid predictions. AlphaFold has been applied in various fields, including antibiotic resistance, plastic degradation, and drug discovery. The AlphaFold database is freely available, enabling researchers worldwide to accelerate their work.
Jumper has authored or co-authored over 30 research papers, including highly cited works such as"Highly Accurate Protein Structure Prediction with AlphaFold"and"AlphaFold Protein Structure Database: Expanding Structural Coverage."His research papers have contributed significantly to advancements in computational biology and have garnered thousands of citations.
Jumper’s academic background includes a Bachelor of Science in Physics and Mathematics fromVanderbilt University(2007), a Master of Philosophy in Theoretical Condensed Matter Physics from theUniversity of Cambridge(2010), and a Doctor of Philosophy in Theoretical Chemistry from the University of Chicago (2017). His doctoral research focused on machine learning for protein folding and dynamics under the supervision of Tobin Sosnick and Karl Freed.
