Daniel Kelshaw is a Machine Learning researcher with experience in various prestigious organizations, including NASA Jet Propulsion Laboratory, the European Space Agency, and Dyson. Kelshaw's internships have focused on developing advanced machine learning models for applications in areas such as predicting vegetation structure, aerodynamic design optimization, and energy systems. Currently, Kelshaw is undertaking a PhD in Machine Learning at Imperial College London while also holding a position as an ML Research Scientist at Meta. Educational credentials include a First Class Honours MEng in Aerospace Engineering from The University of Manchester and A*AA in Mathematics, Physics, and Product Design from Haberdashers' Adams.
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