Avi Vajpeyi

Avi Vajpeyi

(he/him)

Postdoctoral Research Fellow

University of Auckland

Statistical methods, usable software

I translate statistical methods into usable research software for noisy time-series data. I work with Python, JAX and NumPyro to build Bayesian inference tools, with tests, diagnostics and examples that connect the methods to their use.

I am a Postdoctoral Research Fellow at the University of Auckland, working with Prof. Renate Meyer. My research spans LVK parameter estimation and Bayesian noise modelling for LISA.

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Education

PhD Astrophysics

Monash University

BA Computer Science & Physics

The College of Wooster

Interests

Research software & noisy time series Gravitational-wave astrophysics Bayesian inference Creative coding & game jams

Research software

Tools for Bayesian spectral estimation and time-frequency analysis.

Bayesian spectral estimation

LogPSplinePSD

Python · JAX · NumPyro · ArviZ

Estimate noise spectra and correlations in time-series data, with posterior uncertainty and diagnostic plots.

Differentiable time-frequency analysis

wdm-transform

Python · NumPy · JAX

Transform sampled signals between time, frequency and Wilson–Daubechies–Meyer representations for signal analysis.

Selected Publications
El Mehdi Zahraoui, Patricio Maturana-Russel, Avi Vajpeyi, Willem van Straten, Renate Meyer, Sergei Gulyaev (2026). Enhancing evidence estimation through informed probability density approximation. Physical Review D.
arXiv Preprint DOI
Nazeela Aimen, Patricio Maturana-Russel, Avi Vajpeyi, Nelson Christensen, Renate Meyer (2026). Bayesian power spectral density estimation for LISA noise based on penalized splines with a parametric boost. Physical Review D.
arXiv Preprint DOI
Tousif Islam, Avi Vajpeyi, Feroz H. Shaik, Carl-Johan Haster, Vijay Varma, Scott E. Field, Jacob Lange, Richard O’Shaughnessy, Rory Smith (2025). Analysis of GWTC-3 with fully precessing numerical relativity surrogate models. Physical Review D.
URL DOI
Jianan Liu, Avi Vajpeyi, Renate Meyer, Kamiel Janssens, Jeung Eun Lee, Patricio Maturana-Russel, Nelson Christensen, Yixuan Liu (2025). Variational inference for correlated gravitational wave detector network noise. Physical Review D.
URL DOI
Daniel Williams, John Veitch, Maria Luisa Chiofalo, Patricia Schmidt, Rhiannon P. Udall, Avi Vajpeyi, Charlie Hoy (2023). Asimov: A framework for coordinating parameter estimation workflows. Journal of Open Source Software.
URL DOI
See all publications

Games & Experiments

I also build games and interactive experiments in my spare time, exploring reinforcement learning and unconventional controls such as webcam tracking. They are another way I turn ideas into playable software.

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See all games on itch.io

Code Activity

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Contact

Email: avi.vajpeyi@auckland.ac.nz
Phone: +64 22 543 1418
Office: Building 303, Room 305, University of Auckland, New Zealand
Hours: Weekdays 08:30-16:30 NZT

GitHub · LIGO GitLab · Itch.io