Work
A mix of current research, applied work, and completed projects spanning AI attribution, open source platform architecture, educational innovation, and community building. The pattern across all of it: identify a structural gap, build something practical, help others adopt it.
Current
An independently developed framework proposing standardized transparency protocols for human-AI collaboration across journalism, academic, and creative professional domains. Developing practical framework with four attribution categories positioned for adoption similar to Creative Commons licensing model.
Comprehensive initiative bridging journalism and technology through systematic methodology development and educational programming. TRACE methodology adapts Agile principles for investigative journalism workflows.
Systematic protocols for GenAI adoption in educational contexts, balancing productivity enhancement with educational integrity and professional responsibility. Implementation across data science curriculum with critical evaluation training and bias mitigation.
Post-pandemic pedagogical innovation research investigating anonymous-but-accountable live chat systems during lectures, inspired by Twitch/Discord multi-layer attention models. Funded by BU Shipley Center Grant.
Completed
Founded DevConf.US as an annual, free, Red Hat-sponsored technology conference for the North American open source community. Pioneered virtual conference innovations during the pandemic. Transitioned to emeritus advisory role with sustainable community leadership.
Led comprehensive revitalization of the Red Hat Enterprise Linux developer program from dormant state to thriving ecosystem. Authored the RHEL 7 Developer Guide, including substantial new material while adapting relevant earlier content, and created the Software Collections strategic framework.
Led platform strategy enabling multiple software versions without system conflicts, solving fundamental enterprise Linux distribution challenges. Co-led Fedora.Next and RHEL.Next initiatives.