David is a PhD researcher at UCL, focusing on how physics-informed machine learning can be applied to complex Control and Systems Engineering problems. He studied Bachelor’s and Master’s degrees in Aerospace Engineering at the University of Leeds, before working as a Software Consultant at a major automotive company, based between Munich, Oxford, and Budapest, dealing with big data and ML pipelines.
Project: Physics-informed machine learning for control and systems engineering
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Master's Degree in Aerospace Engineering
University of Leeds
Bachelor's Degree in Aerospace Engineering
University of Leeds