Summary
Asad Hussain is a Flatiron Research Fellow at the Simons Foundation with a decade of experience in Bayesian inference, statistical modeling, and computational astrophysics. He combines a PhD in physics with a certified Data Engineer background to build reproducible, open-source tools (including pip-packaged libraries) for hierarchical Bayesian analysis and gravitational-wave inference. His work uncovered the first hints of correlations in black hole spin magnitudes from LVK data and accelerated ringdown parameter inference accuracy by roughly 100×. Asad develops precision tests of physics beyond General Relativity by extracting specific frequencies from stochastic LIGO time series and has implemented novel truncated-kernel Gaussian mixture methods across Python and Julia. Based in New York, he balances rigorous first-principles modeling with practical HPC and JAX/NumPyro implementations, and brings a creative side—making music—into a data-driven research practice.
10 years of coding experience
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Lahore University of Management Sciences
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at The University of Texas at Austin
A Levels, Further Mathematics, Physics, Mathematics, Chemistry, 3 A*s, 2 As, A Levels, Further Mathematics, Physics, Mathematics, Chemistry, 3 A*s, 2 As at Karachi Grammar School
English, Urdu