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.
Here are links to my publications: from Spires, and from the ADS database.
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.