Chairs
The University of Auckland
Areas of Expertise
Bayesian Inference MCMC
Parameter Estimation For LIGO: Binary Inspirals
Supernova Core Collapse
Pulsars
Mock LISA Data Challenges
Evidence Calculation
Time Series Analysis
Power Spectral Density Estimation
Bayesian Nonparametrics
University of Otago
Areas of Expertise
Bayesian Inference
MCMC
Particle Filtering
Scoring Rules
Astrophysics
Big Data
Cosmology
Members
(In Alphabetical Order)
Areas of Expertise:
Astrostatistics
Astrophysics
Geophysics
Bayesian Inference
MCMC
Areas of Expertise:
Mathematical and Computational Cosmology
General Relativity
Areas of Expertise:
Inflationary Cosmology
Stochastic Gravitational-Wave Backgrounds from Early Universe Turbulence and Phase Transitions
Astrophysical Tests of Models of The Early Universe
Dark Matter
Cosmological Observables
Areas of Expertise:
Bayesian inference
MCMC
Time series analysis
Spectral density estimation
Approximation methods
Bayesian nonparametrics
Parameter estimation for LIGO (supernovae)
Parameter estimation for LISA (extreme mass ratio inspirals, and white dwarf binaries)
Areas of Expertise:
Bayesian inference
Astrophysics
Stellar Evolution of Single and Binary Stars
Supernovae
Gamma-Ray Bursts
Stellar Populations and Spectral Synthesis
High-Redshift Galaxies
Areas of Expertise:
Gravitational Waves
Conformal Field Equations and Asymptotic Structure
Initial Boundary Value Problems for Einstein’s Field Equations
Areas of Expertise:
High Energy Astrophysics
Cosmology
Dark Matter
Areas of Expertise:
Axisymmetric and Stationary Equilibrium Configurations in General Relativity
Cosmological Spacetimes
Numerical Relativity
Numerical Time Evolution with Pseudospectral Methods
Areas of Expertise:
Bayesian Inference
MCMC
Gaussian Processes
Mixture Models
Big Data
Areas of Expertise:
Clusters of galaxies
Sunyaev-Zel’dovich effect
Radio astronomy
Bayesian inference
Areas of Expertise:
Bayesian Inference
MCMC
Nested Sampling
Evidence Calculation
Areas of Expertise:
Black holes and gravitational waves
Initial boundary value problems
Asymptotic structure of spacetimes
Areas of Expertise:
Gravitational Waves
Parameter Estimation
Compact Binaries
Population inference
HPC
Prof. Willem van Straten
Manly Astrophysics / Fourier Space
Areas of Expertise:
High-precision pulsar timing
Polarimetry
Interstellar holography
Digital signal processing
Areas of Expertise:
General Relativity
Quantum Gravity
Black Holes and Cosmology
Graduate Students
(In Alphabetical Order)
Areas of Expertise:
MCMC
Astrophysics
Power spectral density estimation
Stochastic gravitational wave backgrounds
Bayesian non-parametrics
Areas of Expertise:
Machine Learning
Signal detection of EMRIs
Convolutional neural networks
Areas of Expertise:
Cosmology
Stochastic gravitational wave backgrounds
Supermassive black hole binaries
LISA
Areas of Expertise:
Bayesian Inference
Power Spectral Density Estimation
Variational Bayes
Parameter estimation
Areas of Expertise:
Bayesian inference
Parameter estimation
Deep learning
Lisa data artifacts
Areas of Expertise:
Astrophysics
Stellar evolution of single and binary stars
Stochastic gravitational wave background
Bayesian Inference
Areas of Expertise:
Cosmology
Inflation
Solitons
Stochastic gravitational wave backgrounds
Shreyas Tiruvaskar
PhD Candidate
The University of Canterbury
Areas of Expertise:
Gravitational waves (Pulsar timing array- stochastic gravitational wave background)
Dark matter (Self interacting dark matter models)
Bayesian inference
Wouter van Zeist
PhD Candidate
Leiden University / The University of Auckland
Areas of Expertise:
Astrophysics
Stellar evolution of single and binary stars
Gravitational waveform synthesis
Supernovae
Areas of Expertise:
Dark matter
Early-universe cosmology
Numerical relativity
El Mehdi Zahraoui
PhD Candidate
Auckland University of Technology
NZ Gravity co-webmaster
Areas of Expertise:
Pulsar timing arrays
Bayesian evidence
Pulsar timing
Plasma physics
Space science