Ari Brill

PhD astrophysicist working to make AI safe

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I’m a NASA Postdoctoral Program Fellow at NASA Goddard Space Flight Center. My current research uses tools of physics to model advanced AI systems, aiming to ensure this transformative technology safely helps humanity understand and improve the world.

At NASA, I apply artificial intelligence and statistical analysis to high-energy extragalactic astrophysics, focusing on explaining the dramatic variability of the gamma rays produced around supermassive black holes.

I completed my PhD in Physics at Columbia in 2021. For my thesis, I studied extremely variable blazars using very-high-energy gamma-ray telescopes and developed experimental control software and analysis methods using deep neural networks to improve next-generation instruments. Before that, I completed a B.S. in Physics at Yale in 2015.

selected publications

  1. Self-Supervised Learning for Modeling Gamma-ray Variability in Blazars
    Aryeh Brill
    In 2nd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE) Feb 2023
    arXiv ADS
  2. Variability Signatures of a Burst Process in Flaring Gamma-Ray Blazars
    A. Brill
    The Astrophysical Journal Sep 2022
    arXiv ADS
  3. Variability and Spectral Characteristics of Three Flaring Gamma-Ray Quasars Observed by VERITAS and Fermi-LAT
    C. B. Adams, J. Batshoun, W. Benbow, and 63 more authors
    The Astrophysical Journal Jan 2022
    arXiv ADS
  4. Investigating a Deep Learning Method to Analyze Images from Multiple Gamma-ray Telescopes
    Aryeh Brill, Qi Feng, T. Brian Humensky, and 3 more authors
    In 2019 New York Scientific Data Summit (NYSDS) Jan 2020
    arXiv ADS
  5. CTLearn: Deep Learning for Gamma-ray Astronomy
    D. Nieto Castaño, A. Brill, Q. Feng, and 5 more authors
    In 36th International Cosmic Ray Conference (ICRC2019) Jul 2019
    arXiv ADS