
William Campbell
Bill is currently a Sr. Applied Science Manager in Amazon AGI working on foundation models, RAG, dense retrievers,... | Greater Boston, Greater Boston, United States
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William Campbell’s Emails wc****@ll****.mit
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William Campbell’s Location Greater Boston, Greater Boston, United States
William Campbell’s Expertise Bill is currently a Sr. Applied Science Manager in Amazon AGI working on foundation models, RAG, dense retrievers, entity linking, and natural language understanding. He leads a team of researchers engaged in applications of foundations models to semantic search, dialogue systems, and recommendation. Before Amazon, Bill was a Senior Member of the Technical Staff at MIT Lincoln Laboratory for 15 years where he led a team of scientists in Advanced Analytics in the Human Language Technology group. During his tenure at MIT LL, Bill contributed foundational research on vector-based speaker and language recognition systems which have had widespread impact on government and commercial applications. In addition to his work on speech, Bill led multiple efforts in advanced analytics for audio, video, and text. He developed key tools for analyzing content and producing graph structures. This work resulted in powerful methods in social network analysis from text, creating content graphs for recognition and clustering, and cross-domain entity resolution. Bill was a key research leader in multiple projects including—DARPA’s XDATA Big Data program, DARPA Memex, large scale social network analysis with Vizlinc, speaker forensics, cognitive radio, and numerous NIST evaluations. He has worked with and transferred technology to numerous government agencies during his tenure. Prior to MIT LL, Bill was a Principal staff at Motorola for 7 years. During his tenure at Motorola, he worked on speech and digital communication systems. For speech, Bill was the lead research scientist for CipherVox—a commercial speaker recognition system, a key designer of ASR for the FXXI soldier system, and implemented voice coding algorithms for the Motorola Tenor pager. For communications work, Bill worked on error control coding and waveform design for soldier systems and LPI/LPD systems. Bill is the author of over 150 papers, has multiple book chapters, 14 patents, and has two best paper awards. He is a senior member of the IEEE and has been an Area Chair for Interspeech, served on the IEEE SLTC for two terms, and has organized multiple workshops. He holds a PhD and Masters in Applied Mathematics with a minor in Electrical Engineering from Cornell University. His thesis was on multirate systems and their applications to resampling, efficient filter implementation, and communication waveform design under the direction of Prof. Thomas W. Parks. He has three bachelors degrees in EE, CS, and Math from SDSM&T. Publications: https://www.researchgate.net/profile/William_Campbell34
William Campbell’s Current Industry Amazon
William
Campbell’s Prior Industry
Motorola
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Mit Lincoln Laboratory
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Amazon
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Work Experience

Amazon
Sr. Applied Science Manager
Tue Mar 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Amazon
Applied Science Manager
Fri Feb 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Mar 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Amazon
Senior Scientist Alexa Machine Learning
Fri Sep 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Feb 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)
Mit Lincoln Laboratory
Senior Staff
Sat Jan 01 2011 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Aug 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time)
Mit Lincoln Laboratory
Technical Staff
Tue Jan 01 2002 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Jan 01 2011 00:00:00 GMT+0000 (Coordinated Universal Time)
Motorola
Principal Staff Engineer
Sun Jan 01 1995 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Jan 01 2002 00:00:00 GMT+0000 (Coordinated Universal Time)