Ross D.King started his PhD at the Turing Institute forty years ago, the subject was the first application of machine learning to predict protein structure. As a postdoc he developed the first application of machine learning to drug design. He is now one of the most experienced AI researchers in Europe. He has joint positions at the University of Cambridge (Biotechnology), and is Professor of Machine Intelligence at Chalmers Institute of Technology, Sweden. His main research interest is AI for science. He originated the idea of a ‘Robot Scientist’ (aka self-driving lab): integrating AI and laboratory robotics to physically implement closed-loop scientific discovery. His Robot Scientist ‘Adam’ was the first machine to autonomously discover scientific knowledge. ‘Eve’ is currently searching for drugs against neglected tropical diseases. He is building 'Genesis' aRobot Scientist designed to automate eukaryotic systems biology. He is currently excited by the use of LLMs to formalise all the knowledge in the scientific literature, and automate the validation of this knowledge. He is a founder of the Nobel Turing Challenge: to build a machine able to do Nobel prize quality scientific research autonomously.

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