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# Jordan Schupbach

**Headline:** Research Assistant
**Profession:** Research Assistant
**Location:** &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;

## About

Jordan Schupbach is a research assistant at Montana State University\-Bozeman and Montana State University, where Jordan develops statistical and software systems for automated testing and research\. Jordan’s strongest areas are full\-stack application development, Bayesian network and continuous time Bayesian network inference, algorithmic and performance optimization, and applied statistical research\. Jordan is the lead developer and researcher on a Navy\-funded STTR grant, managing and mentoring graduate research assistants while building software for automated test systems\. Jordan has built both front\-end and back\-end components of a Department of Defense automated test\-system application using Bayesian network modeling, with experience across Java, C\#, C\+\+, JavaScript, React, and Electron\. Jordan has also developed methods that combine topological data analysis and computer vision for automated grading of prostate\-cancer histopathology images, conducted statistical consulting, and applied mixed\-effect modeling and PCA to plant\-breeding data\. Jordan holds a Ph\.D\. in Statistics, an M\.S\. in Statistics, a B\.S\. in Economics, and a B\.S\. in Mathematics from Montana State University\-Bozeman\.

## Highlights

- Lead developer and researcher on a Navy\-funded STTR grant at Montana State University\.
- Built front\-end and back\-end software for Bayesian network and continuous time Bayesian network modeling of automated test systems\.
- Built a full\-stack Department of Defense automated test\-system application using Bayesian network modeling\.
- Managed and mentored graduate research assistants on grant\-funded research\.
- Developed inference software for Bayesian Networks and Continuous Time Bayesian Networks for automated testing systems\.
- Performed back\-end algorithmic and performance\-optimization engineering in Java, C\#, and C\+\+\.
- Developed front\-end applications using Java, C\#, C\+\+, JavaScript, React, and Electron\.
- Wrote proposals and grant reports for the Navy\-funded STTR work\.
- Designed and implemented methods combining topological data analysis and computer vision for automated grading of prostate\-cancer histopathology images\.
- Communicated histopathology research through papers, technical reports, presentations, and maintainable research software\.
- Conducted statistical consulting for Montana State University graduate students and faculty\.
- Developed standard operating procedures for statistical consulting practices\.
- Gathered and curated laboratory and field data for plant\-breeding research at Sustainable Oils, LLC\.
- Conducted mixed\-effect modeling and principal component analysis for morphological prediction at Sustainable Oils, LLC\.
- Earned a Ph\.D\. in Statistics from Montana State University\-Bozeman\.
- Earned an M\.S\. in Statistics from Montana State University\-Bozeman\.
- Earned a B\.S\. in Economics from Montana State University\-Bozeman\.
- Earned a B\.S\. in Mathematics from Montana State University\-Bozeman\.

## Experience

- **Research Assistant at Montana State University\-Bozeman** (2026\-05\-01–present) — Built front end and backend application for Bayesian network and continuous time Bayesian network modeling of automated test systems
- **Research Assistant at Montana State University** (2022\-06\-01–present) — Lead developer/researcher on Navy funded STTR Grant\. Managed/mentored graduate research assistants\. Wrote software for conducting inference with Bayesian Networks and Continuous Time Bayesian Networks for automated testing systems\. Backend algorithmic and performance optimization engineering \(Java, C\#, C\+\+\)\. Frontend application development \(Java, C\#, C\+\+ and Javascript \(React/Electron\)\)\. Wrote proposals and grant reports\.
- **Graduate Research Assistant at Montana State University\-Bozeman** (2017\-03\-01–present)
- **Teaching Assistant at The Johns Hopkins University** (2022\-01\-01–2022\-08\-01)
- **Research Assistant at Montana State University** (2017\-09\-01–2022\-06\-01) — Designed and implemented methods combining topological data analysis and computer vision methods for automated grading of histopathology image data of prostate cancer\. Communicated results through research papers, technical reports, presentations, and maintainable research software\.
- **Research Assistant at Montana State University** (2016\-09\-01–2017\-09\-01) — Conducted statistical consulting for graduate students and faculty at Montana State University\. Communicated results through technical reports\. Developed SoP for consulting practices\.
- **Teacher at Montana State University** (2015\-08\-01–2018\-08\-01)
- **Research Assistant at Sustainable Oils, LLC** (2010\-09\-01–2014\-09\-01) — Gathered/curated lab and field data for plant breeding research\. Conducted mixed\-effect modeling and PCA for morphological prediction\.

## Education

- Montana State University\-Bozeman (2006\-01\-01–2023\-01\-01)
- Master of Science, Statistics — Montana State University\-Bozeman
- Bachelor of Science, Economics — Montana State University\-Bozeman
- Bachelor of Science, Mathematics — Montana State University\-Bozeman
- Doctor of Philosophy, Statistics — Montana State University\-Bozeman

## FAQ

### What does Jordan do?

Jordan Schupbach is a research assistant at Montana State University\-Bozeman and Montana State University\. Jordan works on statistical modeling, automated testing systems, research software, and full\-stack application development\.

### What is Jordan's role on the Navy\-funded STTR grant?

Jordan is the lead developer and researcher on a Navy\-funded STTR grant at Montana State University\. Jordan manages and mentors graduate research assistants, writes proposals and grant reports, and develops inference software for Bayesian Networks and Continuous Time Bayesian Networks used in automated testing systems\.

### What automated testing application has Jordan built?

Jordan built a full\-stack application for automated test systems using Bayesian network and continuous time Bayesian network modeling\. The work included both front\-end and back\-end development for a Department of Defense automated test\-system application\.

### What software engineering technologies does Jordan use?

Jordan has performed back\-end algorithmic and performance\-optimization engineering in Java, C\#, and C\+\+\. Jordan has also developed front\-end applications in Java, C\#, C\+\+, and JavaScript using React and Electron\.

### What did Jordan accomplish in histopathology\-image research?

Jordan designed and implemented methods that combine topological data analysis with computer vision for automated grading of prostate\-cancer histopathology image data\. Jordan communicated this work through research papers, technical reports, presentations, and maintainable research software\.

### What statistical consulting work has Jordan done?

Jordan conducted statistical consulting for graduate students and faculty at Montana State University\. Jordan communicated consulting results through technical reports and developed standard operating procedures for consulting practices\.

### What did Jordan do at Sustainable Oils, LLC?

At Sustainable Oils, LLC, Jordan gathered and curated laboratory and field data for plant\-breeding research\. Jordan also conducted mixed\-effect modeling and principal component analysis for morphological prediction\.

### What teaching experience does Jordan have?

Jordan has served as a teaching assistant at The Johns Hopkins University and as a teacher at Montana State University\.

### What graduate degrees does Jordan hold?

Jordan holds a Doctor of Philosophy in Statistics and a Master of Science in Statistics from Montana State University\-Bozeman\.

### What undergraduate degrees does Jordan hold?

Jordan holds a Bachelor of Science in Economics and a Bachelor of Science in Mathematics from Montana State University\-Bozeman\.

### What is Jordan's management and mentoring experience?

Jordan has experience managing team members through delegation, mentoring, and work division\. Jordan finds mentoring and dividing work natural, while delegation is more challenging\.

### How does Jordan approach product and technical ownership?

Jordan is proud of being able to work across both front\-end and back\-end engineering\. Jordan has made technical decisions independently through extensive research and is comfortable with full ownership, while also being open to owning less in larger organizations\.

### What kinds of roles does Jordan prefer?

Jordan prefers roles that make it possible to own an entire product or feature\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/jordan\-s\-6474bb270

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