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Welcome!

I'm a postdoctoral researcher in high energy physics and data science at the University of Wisconsin-Madison working on the ATLAS experiment and as part of the Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP). I'm a Pythonista and along with being a core developer of pyhf I additionally work on developing the Pythonic data analysis ecosystem in particle physics as a member of Scikit-HEP. I'm also starting to get more interested in the sustainability of high impact scientific software.

If you want to chat find me on Twitter, and if you want to discuss something with me or collaborate send me an email. Happy coding! 🚀

Matthew Feickert's Projects

fastjet-fork icon fastjet-fork

Vectorized and non-vectorized Python interfaces to FastJet.

feynmpmf icon feynmpmf

Bash script takes a LaTeX file as input and generates a cropped pdf file of the Feynman diagram given by the feynMF/feynMP code within.

func_adl icon func_adl

Construct hierarchical data queries using SQL-like concepts in python

func_adl.xaod icon func_adl.xaod

Client interface to send a hierarchical SQL-like query to an xAOD backend

git-basics icon git-basics

Some examples of how to do some core things in Git

hal-root icon hal-root

A library of helpful functions for working with H.E.P. data within the ROOT Framework.

hal_tutorial icon hal_tutorial

Materials for the tutorial I gave to new HAL system users on "Introduction to Deep Learning" at the National Center for Supercomputing Applications

hamming-codec icon hamming-codec

Simple encode/decode utilties for bit-error correcting Hamming codes

hepaccelerate icon hepaccelerate

Fast GPU and CPU kernels for HEP-specific data: the base library

hepml-env icon hepml-env

A minimal Python3 environment for HEP machine learning with pipenv

heputils icon heputils

Helper utilities around the Scikit-HEP ecosystem for common tasks in HEP

hhrecoutil icon hhrecoutil

An ATLAS analysis package built around the NaiveConeMatch class

histimatortf icon histimatortf

A TensorFlow powered maximum likelihood solution for models built from histogram based templates

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