Avi Vajpeyi
Research Fellow at The University of Auckland
Auckland, Auckland, New Zealand
Summary
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Senior🎓
Top SchoolAvi Vajpeyi is a research fellow at the University of Auckland with a decade of experience combining astrophysics and software engineering to study gravitational waves as part of the LIGO and LISA collaborations. He specializes in Bayesian inference for parameter estimation of merging black holes and has a strong track record of applying machine learning and high-performance computing to physics problems. His PhD work and prior research at Caltech, Monash, and the University of Florida span Bayes-factor detection statistics, CNN-based signal classification, and advanced FFT filtering of simulated signals. Avi’s background in GPU-accelerated simulations, OpenCL/CUDA physics engines, and reproducible research tooling shows a rare blend of theoretical insight and practical engineering. He consistently translates complex numerical methods into production-ready code, and his undergrad thesis improvements to avalanche simulation complexity (O(n^1.2)) hint at a persistent focus on algorithmic efficiency. Based in Auckland, he bridges international collaborations while continuing to push data-driven techniques for gravitational-wave discovery.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Arts (B.A.), Physics and Computer Science, GPA 4.0/4.0, Bachelor of Arts (B.A.), Physics and Computer Science, GPA 4.0/4.0 at The College of WoosterDoctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Monash University
English, Hindi
Stackoverflow
648reputation
115kreached
18answers
2questions
Github Skills (200)
forestry10
regl10
visualization10
hierarchical10
hugo-theme10
python10
r10
netlify10
diffraction10
rmarkdown10
page-builder10
synthesis10
interactive10
compas10
plotly10
Programming languages (17)
Github contributions (5)
avivajpeyi/pyslipper
Mar 2023 - Jan 2024
P-splines for spectral density estimation
Contributions:13 PRs, 83 pushes, 8 branches in 10 months
avivajpeyi/COMPAS
May 2020 - Dec 2024
COMPAS rapid binary population synthesis code
Contributions:1 PR, 96 pushes, 25 branches in 4 years 8 months
rapidsynthesispopulation-synthesiscompas
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