Professional Summary

Software Engineer experienced in working with real-world data, building machine learning models, parallel computing, and effectively communicating complex topics to both technical and non-technical stakeholders.


Ph.D. in Physics University of Wisconsin-Madison

M.S. in Physics University of Wisconsin-Madison

B.S. in Physics University of Texas at Arlington

Professional Experience

Coiled Computing

Software Engineer / June 2020 — Present / Remote


Software Engineer / June 2019 — July 2020 / Remote

  • Contributed to and helped maintain projects in the open-source scientific Python ecosystem
  • Worked on consulting projects to help clients leverage open-source tools for data science applications

Support Engineer / Oct 2018 — May 2019 / Remote

  • Collaborated with data scientists and software engineers to scale data analysis workflows on distributed platforms
  • Contributed to open-source libraries in the Python scientific computing ecosystem

Wisconsin IceCube Particle Astrophysics Center

Research Assistant / Jan 2016 — May 2019 / Madison, WI

  • Built a machine learning analysis framework to automate both classification and regression tasks on a 2 TB dataset of comic-ray samples
  • Developed a Python package that implements a Bayesian statistical deconvolution algorithm
  • Implemented a processing pipeline to extract analysis-ready datasets and ensure quality data selections
  • Utilized a high-throughput computing cluster to run workflows consisting of thousands of jobs (developed a Python package for constructing these workflows in a user-friendly way)
  • Engineered a deep learning model to classify images collected from a global network of smart phone cameras with an accuracy of 95%
  • Developed strong written and verbal communication skills working as a member of a large scientific collaboration with hundreds of members

University of Wisconsin High Energy Phenomenology Group

Research Assistant / May 2014 — July 2015 / Madison, WI

  • Translated complex theoretical model predictions into real-world observables
  • Communicated results to scientific community via a publication and conference presentations

University of Texas at Arlington

Undergraduate Research Assistant / May 2010 — May 2013 / Arlington, TX

  • Performed statistical analysis and visualization of data collected in our lab
  • Maintained and further developed research group’s C++ codebase


J. Bourbeau et al., (2018). PyUnfold: A Python package for iterative unfolding. Journal of Open Source Software, 3(26), 741,

M. Winter, J. Bourbeau, M. Meehan et al., Particle Identification In Camera Image Sensors Using Computer Vision,

J. Bourbeau, P. Desiati, J.C. Diaz Valez, S. Westerhoff et al. (IceCube Collaboration), Cosmic-Ray Anisotropy with Seven Years of Data from IceCube and IceTop, Proceedings of the 35th International Cosmic Ray Conference.

Y. Bai, J. Bourbeau, and T. Lin. Dark Matter Searches with a Mono-Z' Jet. JHEP 1506, 205 (2015).