David Kant is an accomplished artist, composer, and musician specializing in the application of machine learning and artificial intelligence to music. Since 2008, David has been self-employed while also co-founding Indexical, where David served as Technical Director from 2014 to July 2020, focusing on experimental music and public engagement. At the University of California, Santa Cruz, David taught as a Lecturer from July 2018 to June 2021, developing curricula on Music and Artificial Intelligence and authoring an open-source music AI tutorial. Currently, as an Applied Research Scientist at Meta since June 2021, David works on innovative audio and voice experiences, leveraging expertise in music and audio modeling. Additionally, David co-founded Magus Instrumentalis, contributing to product design and algorithm engineering, and held a research position at TEKsystems in late 2020. Educational credentials include a Doctor of Musical Arts from the University of California, Santa Cruz, a Master of Arts in Digital Musics from Dartmouth College, and a Bachelor of Arts in Mathematics from Yale University.
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