Data Science in Science

Great lecture at the Alan Turing Institute by Professor Tony Hey, ex Microsoft Research, and now Chief Data Scientist at the UK’s ‘Science and Technology Facilities Council’, at the Rutherford Appleton Laboratory.

Professor Hey outlined the challenges and opportunities posed by the growth of experimental data, created by the new generation of large-scale experiments such as the Square Kilometre Array (SKA) radio telescope which could generate more data per day than the entire internet when it comes online shortly. Other examples included Berkley’s SlideCAM “Minimalist Machine Learning” that analyses images from very little information; Argonne’s CANDLE project which is about Deep Learning and Simulation Enabled Precision Medicine for Cancer; Oak Ridge’s world leading HPC used to study exploding stars, simulating particle turbulence in fusion reactions, and materials for high-temperature superconductors; and Rutherford Appleton Laboratory, Diamond Light Source – a giant microscope, harnessing the power of electrons to study anything from jet engines to viruses.

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