Richard Savery is an AI and robotics researcher and developer who specializes in musical interfaces and human-robot interaction, blending a performance background with technical rigor to create expressive robotic musicians. With a PhD in Music Technology from Georgia Tech and a track record as an MQ Research Fellow and current DECRA Research Fellow, he develops AI-driven musical prosody and group collaboration models informed by an $800K NSF-funded project. He couples deep creative practice—15 years as a professional woodwind performer and composer for games and film—with data-science roles in music technology to translate artistic intuition into robust algorithms and long-term HRI studies. Based in Sydney, he bridges academia and industry, applying improvisation-informed methods to improve trust and dynamics in multi-agent human-robot ensembles.
11 years of coding experience
Doctor of Philosophy - PhD, Music Technology, Doctor of Philosophy - PhD, Music Technology at Georgia Institute of Technology
Bachelor of Music, Jazz Performance, Bachelor of Music, Jazz Performance at Sydney Conservatorium of Music
Master’s Degree, Integrated Composition, Improvisation and Technology, Master’s Degree, Integrated Composition, Improvisation and Technology at University of California, Irvine
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Richard Savery - DECRA Research Fellow at University of Canberra