Arash Bahramian is a Senior Lecturer at Curtin Institute of Radio Astronomy with a decade of experience bridging astronomy, statistics, and data science. He studies stellar-mass black holes and neutron stars across the electromagnetic spectrum while developing Bayesian mechanistic models and methods for heteroscedastic, censored time-series data. His data-science work emphasizes relational models for large heterogeneous datasets, declarative visualization, and scientific information design, enabling clearer insights from complex observational data. Trained with a PhD from the University of Alberta, he combines rigorous astrophysical research with practical statistical tooling—often translating domain-specific challenges into reusable analytic approaches. Based in Perth, Australia, he brings an interdisciplinary mindset that surfaces subtle patterns in noisy astronomical signals.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Alberta
Radio/X-ray correlation database and plot for X-ray binaries
Contributions:4 releases, 50 commits, 3 PRs in 4 years 4 months
rayplotx-ray-binariesbinariescorrelation
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Arash Bahramian - Senior Lecturer at Curtin University