Dave Bunten

Principal Research Software Engineer at Society of Biomolecular Imaging and Informatics

Denver, Colorado, United States
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Summary

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Senior
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Top School
Dave Bunten is a Principal Research Software Engineer based in Denver with a decade of experience building scalable, research-focused software for biomedical informatics. He leads development of open-source single-cell data processing tools, pairs performance analysis with practical testing, and translates research needs into reusable software and clear technical communications. His background spans data engineering, automation (Terraform, Ansible, Jenkins), and DFIR contributions—highlighted by practical enhancements to the Python CHIRP tool for IoC detection and improved usability. A 2024 Better Scientific Software Fellow and active society councilor, he combines academic rigor with community-focused software gardening practices. Collected across university, industry, and volunteer roles, his work blends systems-level troubleshooting, pipeline engineering, and an emphasis on reproducible, sustainable research software.
code10 years of coding experience
job5 years of employment as a software developer
bookUniversity of Missouri
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Github Skills (19)

python10
cybersecurity10
dfu10
dfd10
argument-parsing10
dfm10
yara10
dfa10
error-handling9
automations8
automator8
ui-testing8
automation8
automatic8
automaton8

Programming languages (19)

C#C++JinjaRustCGoNextflowHTML

Github contributions (5)

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cisagov/CHIRP

Mar 2021 - Apr 2021

A DFIR tool written in Python.
Role in this project:
userSecurity Engineer
Contributions: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.
pythoncisayara-pythondfircybersecurity
Benchmarks for CytoTable and related.
Contributions:2 releases, 15 reviews, 18 PRs in 2 years 4 months
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