Matthew Krause
Project Manager at US Army Corps of Engineers
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Krause is a results-driven project manager and former Army engineer with nine years of experience delivering complex infrastructure, safety, and training programs across military and civilian sectors. He blends technical rigor—an MS in Environmental Engineering and hands-on data science contributions to a NeuromatchAcademy Bayesian tutorial—with strategic leadership from roles managing multi-million-dollar portfolios and cross-functional teams. Matthew has led large-scale utility and construction programs, streamlined emergency and explosives safety for multinational operations, and driven enterprise project portfolio practices for $1.5B+ capital plans. Known as an inclusive servant leader, he prioritizes continuous process improvement, risk mitigation, and mentorship to leave teams stronger than he found them. Based in Seattle and recently completing an Executive MBA at UW Foster, he’s pursuing roles that pair his engineering depth with a passion for sustainable, high-impact projects.
9 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree, Engineering/Industrial Management, Bachelor’s Degree, Engineering/Industrial Management at United States Military Academy at West PointExecutive MBA, Business, Entrepreneurship, Finance, Executive MBA, Business, Entrepreneurship, Finance at UW Foster School of BusinessMaster’s Degree, Environmental Engineering Technology/Environmental Technology, Master’s Degree, Environmental Engineering Technology/Environmental Technology at Missouri University of Science and TechnologyHigh School, High School at Whitefish High School
Github Skills (9)
bayesian-statistics10
data-visualizations10
jupyter-notebook10
data-visualization10
data-visualisation10
bayesian10
python10
machine-learning9
neuroscience8
Programming languages (9)
Github contributions (5)
NeuromatchAcademy/course-content
Jun 2020 - Jul 2020
NMA Computational Neuroscience course
Role in this project:
Data Scientist
Data ScientistContributions:24 commits, 90 PRs, 120 pushes in 24 days
Contributions summary:Matthew revised and updated a tutorial notebook, specifically focusing on Bayesian statistics within the context of the NMA Computational Neuroscience course. The commits show code changes within a Jupyter Notebook (ipynb) file related to marginalization and fitting to data. These changes likely involved modifications to code, potentially including model implementation, data fitting, and visualization updates to further the learning objectives.
neurosciencedynamic-systemspythoncomputational-neurosciencemachine-learning
mrkrause/NSxtract
Mar 2019 - Feb 2026
Efficiently extract data from Ripple Neuro's NEV/NSx files.
Contributions:2 PRs, 4 pushes, 1 branch in 7 years
pythonneuronsxrippleextract-data
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