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  • Princeton University
  • CERN, Geneva

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@scientific-python

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MoAly98/README.md

I’m a postdoctoral researcher in the PICSciE group at Princeton University, based at CERN. My work sits at the intersection of software development and high-energy physics, exploring how ideas from differentiable programming, statistical analysis, and scientific software design can make complex analyses more transparent, expressive, and performant. With a PhD in experimental particle physics from the University of Manchester, I’m interested in how research frameworks can evolve into smoother, more adaptable computational systems that bridge the gap between physics insight and software engineering.

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  1. ligerlac/GRAEP ligerlac/GRAEP Public

    Prototyping a differentiable version of Zprime to ttbar analysis

    Jupyter Notebook 4 3

  2. cabinetry cabinetry Public

    Forked from scikit-hep/cabinetry

    design and steer profile likelihood fits

    Python 1

  3. CoffeaPlot CoffeaPlot Public

    This is a repository with modules used to produce and plot histograms using the coffea framework.

    Python 1

  4. pandastic pandastic Public

    Panda job handling at scale

    Python 3 1

  5. Pythium Pythium Public

    ROOT Killa'

    Python 1 5

  6. everwillow everwillow Public

    Statistical inference library built on JAX pytrees and optimistix optimizers

    Python 2