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, https://doi.org/10.21105/joss.00741.

M. Winter, J. Bourbeau, M. Meehan et al., Particle Identification In Camera Image Sensors Using Computer Vision, https://doi.org/10.1016/j.astropartphys.2018.08.009.

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. https://pos.sissa.it/301/474/pdf.

Y. Bai, J. Bourbeau, and T. Lin. Dark Matter Searches with a Mono-Z’ Jet. JHEP 1506, 205 (2015). http://arxiv.org/pdf/1504.01395.pdf.