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Matteo Paz
American astronomer (born 2006 or 2007) From Wikipedia, the free encyclopedia
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Matteo Paz (born 2006 or 2007) is an American astronomer who developed an artificial intelligence model that identifies celestial objects.
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Biography
Summarize
Perspective
If I could give one piece of advice to young people with ambition, just start it. You're never gonna know, before you start, where you can go. You're never gonna know how exactly you're gonna do it. But you're first step will lead into your next and that's really just how you do great things in life.
– Paz after winning the 2025 Regeneron Science Talent Search[1]
Before enrolling at the Massachusetts Institute of Technology, Paz attended Pasadena High School in Pasadena, California, where he participated in the Math Academy Program.[2] This allowed him to receive the equivalent of a undergraduate degree in mathematics while in high school. In the summer of 2022, he joined the California Institute of Technology's Planet Finder Academy, where he was mentored by J. Davy Kirkpatrick and Andrew Howard.[3][4]
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.[3] 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.[5]
In March 2025, Paz won first place in the Regeneron Science Talent Search for his AI model at the National Building Museum in Washington, D.C., and received the $250,000 prize.[6]
Paz works at the Infrared Processing and Analysis Center.[3]
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Personal life
Paz enjoys snowboarding.[7]
Awards and honors
Bibliography
- A Submillisecond Fourier and Wavelet-based Model to Extract Variable Candidates from the NEOWISE Single-exposure Database (The Astronomical Journal, 2024). DOI: 10.3847/1538-3881/ad7fe6.[5]
References
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