Edoardo D'Anna is a highly skilled algorithm scientist with extensive experience in developing and implementing advanced algorithms in health sensing and biomedical research. Currently serving as a Senior Algorithm Scientist at ŌURA, Edoardo focuses on enhancing the company's health sensing capabilities. Previously, as Engineering Team Lead at Kernel, Edoardo managed a team that created real-time algorithms for the Kernel Flow device. Edoardo’s academic background includes a PhD in Neural Engineering from EPFL, where important research was conducted on novel sensory feedback for amputees. Additional experience includes roles at esteemed institutions such as the University of Pittsburgh and Magic Leap, along with contributions to various startups and development projects in web technologies and virtual reality.
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