His research focuses on machine learning, big data analytics and crowdsourcing, with applications to music and multimedia information retrieval, and personalized, mobile health. As founder and director of UCSD’s Computer Audition Lab, he developed state-of-the-art technology for music and multimedia analysis, search and recommendation. His health informatics work focuses on leveraging ubiquitous, wearable sensors with large-scale data analytics, to monitor and analyze personal health. Besides an avid drummer, he is an Alfred P. Sloan Fellow and was named one of the 35 top young technology innovators in the world by MIT Technology Review.