I am a Research Scientist in the Department of Otolaryngology Head & Neck Surgery (Otology / Neurotology division) at the Stanford School of Medicine. My research focuses on using brain and behavioral responses to better understand how we perceive and engage with sound and music, now with applications toward characterizing hearing loss and rehabilitation. Other research interests include music information retrieval and the study of musical engagement; development and application of novel EEG analysis techniques; and promotion of reproducible and cross-disciplinary research through open-source software and datasets.
I was previously a Postdoctoral Scholar at Stanford University's Center for the Study of Language and Information (CSLI) and Center for Computer Research in Music and Acoustics (CCRMA) after completing the PhD at CCRMA in 2016. I am actively affiliated with the Music Engagement Research Initiative (MERI) at CCRMA and collaborate with the Stanford Vision and Neuro-Development Lab and CCNY Neural Engineering Group. I was affiliated with the Suppes Brain Lab at CSLI from 2007–2017. From 2012–2016 I was part of the R&D team at music tech company Shazam.
September 1, 2017 | Moving to Otolaryngology
I have joined the Department of Otolaryngology in the Stanford School of Medicine as a Research Scientist.
August 7, 2017 | See you at ISMIR
I'll be attending the 18th International Society for Music Information Retrieval Conference (ISMIR2017) in Suzhou, China from October 23–27. The MERI group produced three accepted full papers for the conference, with some late-breaking submissions likely to follow!
June 22, 2017 | See you at SMPC
I'll be attending the SMPC conference at UC San Diego at the end of July, along with several members of the MERI group. We'll be presenting various talks and posters, which are listed on the MERI Publications page.
Stanford Music and the Brain symposium, Saturday July 15
CCRMA is hosting a Music and the Brain symposium on Saturday, July 15. I'll be speaking about some current research projects of the Music Engagement Research Initiative (MERI). The event is currently at capacity, but waitlist registration is available here.
March 22, 2017 | Shazam paper published
Our Frontiers paper "Characterizing Listener Engagement with Popular Songs Using Large-Scale Music Discovery Data" looks at when during a song people tend to perform Shazam queries. It's published as part of the Research Topic titled Bridging Music Informatics with Music Cognition. Accompanying the paper is a dataset containing the query dates and offsets (time in song that a query was performed) for the over 188 million Shazam queries analyzed in the study, available for download from the Stanford Digital Repository.
March 1, 2017 | See you at OHBM
I'll be presenting the poster "Factors Determining Temporal Reliability of Ongoing EEG Responses to Naturalistic Music" at the OHBM Conference coming up in Vancouver in June.