18-year-old California student Seth Jacob Nabat wins $40,000 in prestigious Regeneron science competition for machine-learning program that could help physicists better understand particle collisions

Eighteen-year-old California student Seth Jacob Nabat has won $40,000 after placing 10th in the 2026 Regeneron Science Talent Search. His innovative machine-learning project is designed to help physicists analyse high-energy particle collisions and better understand how symmetry breaks in complex experimental data. Seth also teaches classrooms of elementary and middle school students college-level mathematics.

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