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  • Johns Hopkins University

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tedwards2412/README.md

Hi there 👋

I'm a machine learning researcher and computational physicist working at Johns Hopkins University. I'm interested in a variety of topics including:

  • Differentiable physics simulators
  • Solving partial differential equations with machine learning
  • Foundation models for science
  • Advanced statistical methods

My publications can by found inspire. Always happy to chat, feel free to reach out!

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  1. ripple ripple Public

    Differentiable Gravitational Waveforms with JAX

    Python 54 15

  2. samplex samplex Public

    Package of useful sampling algorithms written in MLX.

    Jupyter Notebook 17

  3. kazewong/jim kazewong/jim Public

    Gravitational-wave data analysis tools in Jax

    Jupyter Notebook 58 19

  4. adam-coogan/diffbank adam-coogan/diffbank Public

    Gravitational wave template bank generation made easy.

    Python 18 3

  5. cweniger/swordfish cweniger/swordfish Public

    A Python tool to study the information yield of counting experiments.

    Python 19 7

  6. bradkav/axion-miniclusters bradkav/axion-miniclusters Public

    Code and results for the disruption of axion miniclusters (AMCs) in the Milky Way, as well as radio signals from encounters between AMCs and neutrons stars.

    Jupyter Notebook 9 1