Ross D. King
| Ross King | |
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| Born | Ross Donald King |
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| Known for | Robot Scientist |
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| Thesis | A machine learning approach to the problem of predicting a protein's secondary structure from its primary structure (PROMIS) (1989) |
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Ross Donald King is a Professor of Machine Intelligence in the School of Computer Science at the University of Manchester working at the Manchester Institute of Biotechnology and Machine Learning and Optimisation (MLO) group.
King completed a Bachelor of Science degree in Microbiology at the University of Aberdeen in 1983 and went on to study for a Master of Science degree in Computer Science at the University of Newcastle in 1985. Following this, he completed a PhD at The Turing Institute at the University of Strathclyde in 1989 for work on developing machine learning methods for protein structure prediction.
King's research interests are in the automation of science, drug design, AI, machine learning and synthetic biology. He is probably best known for the Robot Scientist project which has created a robot that can:
The Robot Scientist can autonomously execute high-throughput hypothesis led research. In addition to automating experimentation Robot Scientists are well suited to recording scientific knowledge: as the experiments are conceived and executed automatically by computer, it is possible to completely capture and digitally curate all aspects of the scientific process. Robot Scientist is the first machine to have been demonstrated to have discovered novel scientific knowledge. A new Robot Scientist Eve is designed to automate drug discovery. Eve automates high-throughput screening, hit confirmation, and lead generation through QSAR learning and testing. Eve is being applied to the discovery of lead compounds for neglected tropical diseases.
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