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| author = – Paz after winning the 2025 [[Regeneron Science Talent Search]]<ref>{{Cite AV media |url=https://www.youtube.com/watch?v=8_AZ71yNUZY |title=Meet Matteo Paz, 1st Place Winner of the 2025 Regeneron STS |date=2025-03-12 |last=SocietyforScience |access-date=2025-06-29 |via=YouTube}}</ref>
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Before enrolling at the [[Massachusetts Institute of Technology]], Paz attended [[Pasadena High School (California)|Pasadena High School]] in [[Pasadena, California]], where he participated in the Math Academy Program.<ref>{{Cite web |title=Steward PhD Alum Mentors Teen Who Wins $250K for Using AI to Discover 1.5 Million Hidden Objects in Space {{!}} Steward Observatory |url=https://astro.arizona.edu/news/steward-phd-alum-mentors-teen-who-wins-250k-using-ai-discover-15-million-hidden-objects-space |access-date=2025-06-29 |website=astro.arizona.edu |language=en}}</ref>
Paz and Kirkpatrick analyzed [[NASA]]'s [[Wide-field Infrared Survey Explorer]]'s dataset. Paz began building an AI model that could analyze the dataset and identify objects in space. In six weeks, the model was capable of identifying such objects. By 2024, it had flagged 1.5 million candidate objects.<ref name=":1" /> In November 2024, he published his paper, ''A Submillisecond Fourier and Wavelet-based Model to Extract Variable Candidates from the NEOWISE Single-exposure Database'', in ''[[The Astronomical Journal]]''.<ref name=":2">{{Cite journal |title=A Submillisecond Fourier and Wavelet-based Model to Extract Variable Candidates from the NEOWISE Single-exposure Database | date=2024 |doi=10.3847/1538-3881/ad7fe6| doi-access=free | last1=Paz | first1=Matthew | journal=The Astronomical Journal | volume=168 | issue=6 | page=241 | arxiv=2409.15499 | bibcode=2024AJ....168..241P }}</ref>
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