Ed Davis

Prior to COMPASS, I graduated from the University of Manchester with a master’s degree in Physics with first-class honours. During this degree, I undertook a summer placement with the university where I analysed data collected by the ATLAS detector at the Large Hadron Collider, CERN.  For my master’s project, I began working towards the creation of an autonomous DJ system, which involved creating music information retrieval (MIR) algorithms to detect musical cue points, tonality, tempo and downbeats.

Currently, my research focuses on how to compute low-dimensional vector space representations of networks which we call network embeddings. Specifically, I am working on how to best calculate embeddings of dynamic networks such that the time-varying behavior of nodes in the network is accurately captured in the embedding space.

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