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landryp/README.md

Hello!

I'm an astrophysicist working as a data scientist in the tech sector. I was formerly a postdoctoral researcher at the Canadian Institute for Theoretical Astrophysics (University of Toronto) and the University of Chicago. In my astrophysics research, I develop and apply data-driven statistical methods to learn about the universe's black holes & neutron stars. I use gravitational wave observations of these dead stars to answer fundamental questions about nuclear physics, strong gravity & cosmology.

Projects

  • bns-dtd-rproc. Bayesian inference of the binary neutron star delay time distribution from galactic r-process abundance observations, and hypothesis testing on one vs two-channel models for galactic r-process enrichment history
  • twin-stars. Hierarchical inference of a parameterized hybrid-star equation of state with simulated next-generation binary neutron star merger observations, and hypothesis testing on the existence of twin stars in the population
  • mock-bns-pop. Simulation of a binary neutron star merger population and calculation of Fisher matrix parameter uncertainties
  • em-dash. Visualization of remnant matter predictions for compact binary mergers

Programming

Programming Languages. Python - Bash - SQL - C
Packages. Scipy - Pandas - Scikit-learn - Matplotlib - Seaborn
Computer Algebra. Mathematica - Matlab

Research

Publications. arXiv - Google Scholar - NASA ADS - INSPIRE

Pinned Loading

  1. bns-dtd-rproc bns-dtd-rproc Public

    Code repository for inference of binary neutron star delay time distbution from r-process abundance observations.

    Jupyter Notebook 1 1

  2. em-dash em-dash Public

    Code repository for interactive plot showing whether to expect remnant matter in a compact binary merger

    Jupyter Notebook 1

  3. mock-bns-pop mock-bns-pop Public

    Code repository for generating mock binary neutron star merger population.

    Jupyter Notebook 1

  4. sodapop sodapop Public

    Tools for gravitational-wave population modeling and inference.

    Python 2 3

  5. twin-stars twin-stars Public

    Code repository for study of twin star detection prospects with population-scale gravitational wave observations

    Jupyter Notebook 1 2

  6. phenom-eos phenom-eos Public

    Code for reproducing phenomenological models of candidate EoSs, like piecewise polytropes

    Python 2 1