Dave Bunten
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolDave Bunten is a generative data technologist and software designer who blends biomedical informatics, data engineering, and security-aware development across academic teams. As Principal Research Software Engineer at the University of Colorado Department of Biomedical Informatics, he leads performance analysis and testing for single-cell image-based profile data mining and serves as a Councilor for the Society of Biomolecular Imaging and Informatics in Denver. He brings hands-on security engineering experience from contributing to the CHIRP DFIR tool, enhancing command-line plugin support, IoC detection, and robust error handling. An active open-source contributor and 2024 Better Scientific Software Fellow, he combines software engineering with an education technology background (M.Ed.) and a B.S. in Information Technology. Based in Denver, he champions collaborative, scalable data pipelines and biomedical software that is both reliable and interpretable.
10 years of coding experience
5 years of employment as a software developer
University of Missouri
Github Skills (20)
python10
cybersecurity10
dfu10
dfd10
argument-parsing10
dfm10
yara10
dfa10
error-handling9
automations8
automator8
ui-testing8
automation8
automatic8
automaton8
Programming languages (16)
Github contributions (5)
cisagov/CHIRP
Mar 2021 - Apr 2021
A DFIR tool written in Python.
Role in this project:
Security Engineer
Security EngineerContributions:11 commits, 3 PRs, 4 comments in 17 days
Contributions summary:Dave primarily contributed to enhancing the CHIRP tool's functionality and usability. This involved adding command-line arguments for plugin specification and file target overrides, improving error handling, and implementing an IoC detection feature with non-interactive mode handling. They also made minor formatting corrections and applied pre-commit changes to ensure code quality. The user's changes focused on refining core features related to indicator of compromise detection.
pythondfircisacybersecurityioc
WayScience/CytoDataFrame
Oct 2024 - Mar 2025
An in-memory data analysis format for single-cell profiles alongside their corresponding images and segmentation masks.
Contributions:49 reviews, 31 PRs, 14 pushes in 5 months
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