|Add a Photo|
|Born||February 26, 1992|
|Education||Majored in applied mathematics and systems engineering and minored in jazz studies.|
Pursuing his PhD in Computer Science.
|Alma mater||Washington University|
University of Southern California
Water polo player
Timothy Greer (born February 26, 1992) is an American computer scientist, musician, and water polo player from Philadelphia.
Greer attended Washington University, where he played club water polo and majored in applied mathematics and systems engineering and minored in jazz studies. In 2011, he captained Washington University to its first Division III National Championship, earning Most Valuable Player of the Tournament honors. In 2014, he was named the 2013-2014 Scholar-Athlete of the Year by the Collegiate Water Polo Association.
Now at the University of Southern California, Greer is pursuing his PhD in Computer science and is advised by Shrikanth Narayanan. Greer's research on beatboxing showed that articulations used by beatboxers use are not found in any attested language, which garnered attention from news sources like the New York Times, Newsweek, and Popular Science. In other research, Greer analyzed chords and lyrics of songs in the Billboard charts and used machine learning models to accurately predict musical genre. This work was covered by Popular Mechanics. Greer was also featured on Quirks and Quarks, where he discussed his research on how humans' brains, bodies, and behaviors are influenced by happy and sad music.
- [email protected], Charles. "WATER POLO: Timothy Greer leads Washington University to national title". Montgomery News. Retrieved 2019-05-31.
- "2011 MEN'S DIVISION III CLUB CHAMPIONSHIP" (PDF). Collegiate Water Polo Association. Retrieved 2019-11-27.
- "Club water polo captures national championship". Student Life. Retrieved 2019-05-31.
- "Scholar-Athlete of the Year". Collegiate Water Polo Association. Retrieved 2019-05-31.
- Blaylock, Reed; Patil, Nimisha; Greer, Timothy; Narayanan, Shrikanth S. (2017-08-20). "Sounds of the Human Vocal Tract". Interspeech 2017. ISCA: 2287–2291. doi:10.21437/Interspeech.2017-1631.
- Greenwood, Veronique (2018-11-07). "Watch Beatboxers Break It Down Inside an M.R.I. Scanner". The New York Times. ISSN 0362-4331. Retrieved 2019-05-31.
- EST, Aristos Georgiou On 11/12/18 at 11:57 AM (2018-11-12). "This bizarre MRI video shows how beatboxers make sounds". Newsweek. Retrieved 2019-05-31.
- "Watch people beatbox in an MRI". Popular Science. Retrieved 2019-05-31.
- Greer, Timothy; Narayanan, Shrikanth (2019-09-14). "Using Shared Vector Representations of Words and Chords in Music for Genre Classification". SMM19, Workshop on Speech, Music and Mind 2019. ISCA: 46–50. doi:10.21437/SMM.2019-10.
- Linder, Courtney (2019-08-15). "AI Reveals How 'Old Town Road' Became the Biggest Song Ever". Popular Mechanics. Retrieved 2019-09-09.
- "Machines on music — AI helps figure out how music tickles your brain and your body". Canadian Broadcasting Corporation. 2019-11-22. Retrieved 2019-11-27.
- Greer, Timothy; Ma, Benjamin; Sachs, Matthew; Habibi, Assal; Narayanan, Shrikanth (2019). "A Multimodal View into Music's Effect on Human Neural, Physiological, and Emotional Experience". Proceedings of the 27th ACM International Conference on Multimedia - MM '19. Nice, France: ACM Press: 167–175. doi:10.1145/3343031.3350867. ISBN 978-1-4503-6889-6.
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