Michelle Daniels

Michelle Daniels is an accomplished Principal Machine Learning Engineer at Bose Corporation, with a career spanning over two decades in audio engineering and machine learning. With a focus on research and development since September 2015, Michelle has held various positions including Senior Machine Learning Engineer and Senior Software Engineer, where significant contributions were made in areas like health applied research and music information retrieval. Prior experience includes a strong academic foundation as a Graduate Student Researcher at the University of California, San Diego, where innovative work was done in audio beat tracking and networking for real-time applications. Additionally, Michelle has worked as a Software Engineer at Groove Mobile, a researcher at Stanford University, and an Audio Software Engineer at AuSIM, Inc., all of which enhanced expertise in digital signal processing and audio software development. Educational achievements include a PhD and MA in Music with an emphasis in computer music from UC San Diego, along with a Bachelor of Arts from Stanford University.