Daniel Tompkins
Applied Scientist at Amazon
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolDaniel Tompkins is an Applied Scientist with nine years of industry experience and a PhD in Music Theory, specializing in audio and machine learning for cinematic and multimedia applications. He has led research and production efforts at Microsoft and now Amazon Prime Video, building and deploying models for audio event detection, speech recognition, low-resource ASR, music generation, and automated AI mixing for dubbed content. His publications on audio event detection, emotion detection, and foundational audio models (BEATS) reflect a strong track record of peer-reviewed research that bridges academic rigor and production constraints. A former college music instructor, he brings deep music-theoretic intuition to ML problems and mentors students exploring technology careers. Outside work he’s an active early-music performer (guitar, lute, theorbo) and community theater director, a practical creative perspective that informs his approach to audio modeling.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Music Theory, GPA: 3.9, Doctor of Philosophy (Ph.D.), Music Theory, GPA: 3.9 at Florida State UniversityMaster of Music, Classical Guitar Performance, GPA: 4.0, Master of Music, Classical Guitar Performance, GPA: 4.0 at Appalachian State University
Github Skills (1)
audio4
Programming languages (2)
Github contributions (5)
tompkinsguitar/counterpoint
Jul 2017 - Jan 2019
Contributions:5 commits, 5 pushes, 1 branch in 1 year 5 months
tompkinsguitar/AtonalTools
Jul 2017 - May 2021
Contributions:4 pushes, 1 branch in 3 years 11 months
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