Chairs

Prof. Renate Meyer

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

Dr. Matthew Parry

University of Otago

Areas of Expertise

Bayesian Inference
MCMC
Particle Filtering
Scoring Rules
Astrophysics
Big Data
Cosmology

Members

(In Alphabetical Order)

Prof. Richard Arnold

Victoria University Wellington

Areas of Expertise:

Astrostatistics
Astrophysics
Geophysics
Bayesian Inference
MCMC


Dr. Florian Beyer

University of Otago

Areas of Expertise:

Mathematical and Computational Cosmology
General Relativity


Prof. Richard Easther

The University of Auckland

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


Dr. Matt Edwards

The University of Auckland

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)


Prof. Jan Eldridge

The University of Auckland

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


Prof. Jörg Frauendiener

University of Otago

Areas of Expertise:

Gravitational Waves
Conformal Field Equations and Asymptotic Structure
Initial Boundary Value Problems for Einstein’s Field Equations


Dr. Chris Gordon

University of Canterbury

Areas of Expertise:

High Energy Astrophysics
Cosmology
Dark Matter


Dr. Jörg Hennig

University of Otago

Areas of Expertise:

Axisymmetric and Stationary Equilibrium Configurations in General Relativity
Cosmological Spacetimes
Numerical Relativity
Numerical Time Evolution with Pseudospectral Methods


Dr. Kate Jeong Eun Lee

The University of Auckland

Areas of Expertise:

Bayesian Inference
MCMC
Gaussian Processes
Mixture Models
Big Data


Dr. Yvette Perrott

Victoria University Wellington

Areas of Expertise:

Clusters of galaxies
Sunyaev-Zel’dovich effect
Radio astronomy
Bayesian inference


Dr. Patricio Maturana Russel

Auckland University of Technology

Areas of Expertise:

Bayesian Inference
MCMC
Nested Sampling
Evidence Calculation


Dr. Chris Stevens

University of Canterbury

Areas of Expertise:

Black holes and gravitational waves
Initial boundary value problems
Asymptotic structure of spacetimes


Dr. Avi Vajpeyi

The University of Auckland

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


Prof. David Wiltshire

University of Canterbury

Areas of Expertise:

General Relativity
Quantum Gravity
Black Holes and Cosmology


Graduate Students

(In Alphabetical Order)

Nazeela Aimen

PhD Candidate
The University of Auckland

Areas of Expertise:

MCMC
Astrophysics
Power spectral density estimation
Stochastic gravitational wave backgrounds
Bayesian non-parametrics


Amin Boumerdassi

PhD Candidate
The University of Auckland
NZ Gravity co-webmaster

Areas of Expertise:

Machine Learning
Signal detection of EMRIs
Convolutional neural networks


Laura Burn
(she/they)

PhD Candidate
The University of Auckland

Areas of Expertise:

Cosmology
Stochastic gravitational wave backgrounds
Supermassive black hole binaries
LISA


Jianan Liu

PhD Candidate
The University of Auckland

Areas of Expertise:

Bayesian Inference
Power Spectral Density Estimation
Variational Bayes
Parameter estimation


Ruiting Mao

PhD Candidate
The University of Auckland

Areas of Expertise:

Bayesian inference
Parameter estimation
Deep learning
Lisa data artifacts


Petra Nianqi Tang

PhD Candidate
The University of Auckland

Areas of Expertise:

Astrophysics
Stellar evolution of single and binary stars
Stochastic gravitational wave background
Bayesian Inference


Chiara Testini

PhD Candidate
The University of Auckland

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


You-Rong Frank Wang

PhD Candidate
The University of Auckland

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