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From Music PhD at Stanford to Data Scientist in Europe

Alex Sigman
R&D Engineer at Aiva Technologies
Panelist Spotlight

Software engineer and data scientist with a unique interdisciplinary background. I have a passion for adding value to data, gaining actionable insights, and implementing innovative solutions through creative and effective problem solving. Having worked in a variety of domestic and international industry, research, and education settings, I have developed the ability to explain abstruse concepts in clear and engaging ways.

Currently, I am an R&D Engineer at AIVA Technologies, a leader AI-driven music technology startup based in Luxembourg. In this capacity, I am responsible for MIR (music information retrieval)-based feature development and the design and implementation of audio analysis tools.

I have presented and published extensively on a broad range of research topics, including innovative auditory warning design, sound information retrieval, perception, and classification, approaches to creative audiovisual media integration, and robot opera.

Throughout my career, I have held diverse leadership roles, which have ranged founding faculty member and Music program director of the International College of Liberal Arts (iCLA) of Yamanashi Gakuin University in Kofu, Japan, to Artistic Co-Director of the Menlo-Atherton Academy of Contemporary Music (MAACM), an arts education non-profit offering concerts and workshops to high school students in San Mateo County, CA, to Managing Director of Ensemble Modelo62, an 11-member new music consort based in The Hague, NL.

From Music Ph.D. at Stanford to Data Scientist in Europe

|October 27th, 2021|

With a unique background in music composition + technology, cognitive science, and data science, Alex Sigman has been active internationally as an interdisciplinary composer, performer, researcher, software engineer, and educator. He earned undergraduate degrees in Music and Cognitive Science at Rice University and his doctorate in Music Composition at Stanford. Sigman was a Data Science Fellow at the NYC Data Science Academy in 2019. Sigman has published and presented extensively on a broad range of research topics, including music information retrieval, innovative auditory warning design, technical and aesthetic aspects of robot opera, and approaches to creative audiovisual media integration. Throughout his career, he has held diverse leadership roles, including being a founding faculty member and Music program director of the International College of Liberal Arts (iCLA) of Yamanashi Gakuin University in Kofu, Japan. Sigman is currently a research and development engineer at AIVA Technologies, an AI music technology startup based in Luxembourg.
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