Named one of the top young technology innovators by MIT Technology Review in 2006
IEEE Fellow
IEEE Distinguished Lecturer (2016–2017)
Former Editor-in-Chief of ACM/IEEE Transactions on Audio, Speech, and Language Processing
Former chair of multiple IEEE SPS technical committees: Audio and Acoustic Signal Processing, Machine Learning for Signal Processing, and Data Science Initiative
Served on the IEEE SPS Board of Governors
Multiple best paper awards, including IEEE WASPAA 2021 Best Paper Award and IEEE SPS Best Paper Award
Holder of multiple U.S. patents
Research Experience
Former professor and associate director of the School of Computer and Data Science at UIUC, where he founded the CS+Music program
Former Amazon Scholar at AWS
Founded audio research at Adobe Research
Former research scientist at MERL
Worked at Interval Research and Starlab
Visiting scientist at MIT’s McGovern Institute for Brain Research
Background
Professor in MTA and EECS at MIT
Primary research interests focus on enabling machines to listen
Extensive work in signal processing, machine learning, and statistics as applied to artificial perception, particularly computational audition and music processing
Passionate about audio-related research, with emphasis on source separation and novel machine learning approaches to traditional signal processing problems
Affiliated with MIT's Music Technology program, a member of RLE, and an AI+D faculty member in EECS