Rohan Arni

Rohan Arni builds machine-learning models to investigate problems in physics, including classifying fast radio bursts and searching simulated particle collisions for dark photons. As a senior at High Technology High School, he has also worked with Harvard researchers on NeuroDiffEq, a library for physics-informed neural networks.

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Using Deep Learning for Robust Classification of Fast Radio Bursts

A research poster describing a variational autoencoder for classifying fast radio bursts and analyzing patterns in their data.

Writing

societyforscience.org

85 Years of Scientific Talent: How 7 Regeneron STS finalists are now shaping the AI frontier

An interview about his use of CHIME telescope data and machine learning to study fast radio bursts.

Media appearance

societyforscience.org

Rohan Arni — Regeneron STS finalist profile

A profile of his fast-radio-burst project and its findings, along with background on his research.

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Rohan Arni

Products & media

Using Deep Learning for Robust Classification of Fast Radio Bursts

85 Years of Scientific Talent: How 7 Regeneron STS finalists are now shaping the AI frontier

Rohan Arni — Regeneron STS finalist profile

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