Rohan Arni, 17, used deep learning to study mysterious space signals with 98% accuracy; now he is a US Regeneron STS finalist
- Posted on August 10, 2026
- By The Times of India
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- 1 min read
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Rohan Arni, 17, used deep learning to study mysterious space signals with 98% accuracy; now he is a US Regeneron STS finalist
At 17, Rohan Arni is exploring one of astronomy's most intriguing mysteries: fast radio bursts, or FRBs, incredibly powerful flashes of radio waves that can travel across the universe and last for only milliseconds. A student at High Technology High School in Lincroft, New Jersey, Rohan developed a machine-learning model that classified repeating and non-repeating FRBs with 98% accuracy.
