Dr. Andrew MatasJunior Scientist/Postdoc
I am broadly interested in how to use gravitational wave observations to probe fundamental physics. Most recently, my focus has been on detecting and interpreting the stochastic gravitational wave background, a superposition of sources too weak to detect individually. Since 2017, I am a co-chair of the LIGO-Virgo stochastic data analysis group, one of the four main data analysis groups in the Collaborations. In the past few years have led the search for the isotropic stochastic background on data from Advanced LIGO, which is the flagship analysis of the stochastic group. Additionally, I have worked on developing Bayesian data analysis techniques to study astrophysical models of anisotropy in the background, and to look at the spectrum of a cosmological background to find signatures of non-GR polarization modes, axion clouds, and phase transitions. I am also interested in understanding modifications of General Relativity such as massive gravity, both theoretically and observationally. In the past I have studied both the theoretical consistency of massive gravity, and the observational signatures of scalar radiation from binary pulsar systems.
I received my PhD in 2016 from Case Western Reserve University in
Cleveland, Ohio. My thesis title was "Foundations of Massive Gravity,"
and my supervisor was Claudia de Rham. After completing my PhD, I joined
the LIGO Scientific Collaboration and started as a postdoc at the
University of Minnesota, working with Vuk Mandic. While there, I became a
co-chair of the LIGO-Virgo stochastic data analysis working group. I
began my second postdoc at AEI in 2018.