I direct the Vanderbilt Initiative for Probes of Extreme Relativity (VIPER), an intensely collaborative research group investigating gravitational waves across the nanohertz–millihertz frequency band. VIPER develops astrostatistics methods, Bayesian parameter estimation tools, AI-driven data analysis pipelines, and large-scale simulations to probe the universe’s most extreme environments: supermassive black holes, relativistic binaries, neutron stars, and early-Universe processes.
Nanohertz gravitational waves

The main thrust of my research is searching for nanohertz gravitational waves from distant sources using a web of Milky Way pulsars (a Pulsar Timing Array), and unveiling the properties of the supermassive black holes, cosmic strings, or early Universe processes that produce these GWs.
Pulsars are rapidly rotating, highly magnetized neutron stars that emit beams of radiation along their magnetic field axis. Millisecond pulsars (MSPs) spin hundreds of times a second with extraordinarily stable pulse arrival times, making them natural clocks in the sky.
June 29, 2023 — I announced NANOGrav’s evidence for a cosmic background of nanohertz-frequency gravitational waves at NSF Headquarters, alongside Kip Thorne and Jocelyn Bell Burnell.
I have developed many of the signal models, statistical techniques, and coding infrastructure underlying the global pulsar timing array effort — including Bayesian spectral characterization, open-source analysis pipelines, forward models for population forecasting, and host-galaxy identification frameworks for supermassive black hole binaries.
Selected papers
- The NANOGrav 15 yr data set: evidence for a gravitational-wave background
- The dawn of gravitational wave astronomy at light-year wavelengths: insights from pulsar timing arrays
- The astrophysics of nanohertz gravitational waves
Supermassive black-hole binaries
The gravitational-wave background is expected to be dominated by the combined signal of a cosmic population of supermassive black-hole binaries. My group forecasts when pulsar timing arrays will resolve the first individual binaries, develops targeted searches for candidates identified electromagnetically, and builds frameworks for identifying the host galaxies of binaries found in gravitational waves — connecting gravitational-wave detections to the galaxies and quasars around them.
Selected papers
- Identifying the host galaxies of supermassive black hole binaries found by pulsar timing arrays
- Efficient large-scale, targeted gravitational-wave probes of supermassive black-hole binaries
- Expectations for the first supermassive black-hole binary resolved by PTAs I: Model efficacy
LISA and the millihertz band
As one of six US scientists appointed to the ESA–NASA LISA Science Team, I am developing population-inference methods for LISA sources within the global fit, targeting stellar-mass binaries, massive black-hole mergers, and extreme mass-ratio inspirals across the millihertz band.
LISA — three spacecraft exchanging laser beams across 2.5-million-kilometer arms — was adopted by ESA in 2024 and is planned for launch in the 2030s.
Selected papers
- Flexible spectral separation of multiple isotropic and anisotropic stochastic gravitational wave backgrounds in LISA
- Inferring the properties of a population of compact binaries in presence of selection effects
Methods and software
The common thread is statistical: turning noisy, heterogeneous data into reliable astrophysical inference. My group’s work includes Bayesian spectral characterization of the gravitational-wave background, Gibbs-sampling schemes for full PTA analyses, generalized optimal statistics for mapping the background across the sky and spectrum, and normalizing flows and neural emulators for fast inference. Our code is open source — see github.com/stevertaylor.
Selected papers
- Solving the PTA data analysis problem with a global Gibbs scheme
- Fast parameter inference on pulsar timing arrays with normalizing flows
- Deep neural emulation of the supermassive black hole binary population
Funding
Total as PI / Co-PI / Institutional PI: $6 million. Selected active grants:
- NASA LISA Preparatory Science (2026–2028): Population inference within the LISA global fit
- NSF Windows on the Universe (2023–2026): Mapping host galaxies of low-frequency GW sources
- NASA FINESST (2023–2026): Optimizing multi-messenger searches for supermassive black-hole binaries
- NSF CAREER (2021–2026): Unveiling the nanohertz GW discovery landscape
The full list is in the CV.
Collaborations
- NANOGrav — North American Nanohertz Observatory for Gravitational Waves
- IPTA — International Pulsar Timing Array
- LISA — Laser Interferometer Space Antenna
- LIGO — Laser Interferometer Gravitational-wave Observatory
- OzGrav — ARC Centre of Excellence for Gravitational Wave Discovery
- MeerKAT PTA — MeerKAT Pulsar Timing Array
- GWIC — Gravitational Wave International Committee
