Tim O'brien is a research scientist at Shazam R&D and a Ph.D. candidate at Stanford CCRMA who blends deep learning, music information retrieval, and algorithmic composition to push the boundaries of audio and multimedia systems. With 13 years of experience spanning industry internships at Sennheiser and Apple, an early career in equity research at J.P. Morgan, and long-term academic teaching and TA roles at Stanford, he bridges rigorous engineering, research, and pedagogy. His work focuses on applied deep learning for music and audio, generative composition, and improvisational multimedia systems, often informed by a strong foundation in computational physics. An avid guitarist and composer who spent years composing and recording in New York, he brings practical musicianship to technically sophisticated problems. Based in Palo Alto, he combines product-facing R&D at a major consumer-music company with cutting-edge academic research, making him adept at translating novel audio research into real-world features. Notably, his background in both quantitative finance workflows and creative coding gives him a rare fluency across data-driven engineering and artistic systems.
13 years of coding experience
3 years of employment as a software developer
Master’s Degree, Music, Science and Technology, Cumulative GPA 4.116, Master’s Degree, Music, Science and Technology, Cumulative GPA 4.116 at Stanford University - Center for Computer Research in Music and Acoustics
Scarsdale High School
B.S., Major in Physics, concentration in Computational Physics, minor in Anthropology, B.S., Major in Physics, concentration in Computational Physics, minor in Anthropology at University of Virginia
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Tim O'brien - Research Scientist, Shazam R&D at Apple