Currently, I’m a Machine Learning Engineering Manager (aka Chapter Lead) at Spotify, where I help teams research and develop machine learning algorithms to improve the experience of ad-supported listeners around the world. Previously, I’ve also been a Senior Machine Learning Researcher at Spotify; a Research Scientist and Team Lead at MuseAmi (RIP); and a consulting engineer for various music / audio technology companies, working on equally varied challenges.
I received my Ph.D. in Music Technology from NYU working with Juan P. Bello in the Music and Audio Research Lab (MARL). In May 2015, I defended my disseration, titled An Exploration of Deep Learning in Music Informatics. Previously, I received a M.S. in Music Engineering Technology from the University of Miami, and a B.S. in Electrical Engineering from Syracuse University.
I’m acting Secretary of the International Society for Music Information Retrieval (ISMIR), served as a Program Committee co-chair for ISMIR2018, a mentor in the Women in MIR (WiMIR) mentoring program, and help coordinate the Northeast Music Informatics Special Interest Group (NEMISIG) workshops.
In addition to the (perhaps obvious) topics of computational intelligence, music/audio signal processing, and machine learning, I spend a lot of time thinking about lean research philosophy, being a better (servant) leader, career development, and how I can contribute to STEAM-style education.
And, in what little time remains, I’m a songwriter and multi-instrumentalist (guitar, vocals, drums, saxophone, …), a recreational runner, and an increasingly serious woodworker.