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Large datasets and modern machine learning techniques are fast changing the field of Astrophysics and our understanding of the universe. In this episode, we chat with PhD candidates Tarek Allam and Gordon Yip, whose respective research at University College London’s Department of Physics and Astronomy focuses on the classification of supernova light curves to help constrain theories of Dark Energy and the atmospheric composition of remote exo-planets.
By The Alan Turing Institute5
55 ratings
Large datasets and modern machine learning techniques are fast changing the field of Astrophysics and our understanding of the universe. In this episode, we chat with PhD candidates Tarek Allam and Gordon Yip, whose respective research at University College London’s Department of Physics and Astronomy focuses on the classification of supernova light curves to help constrain theories of Dark Energy and the atmospheric composition of remote exo-planets.

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