About
I work at the point where emerging technical capability becomes operational reality. Research, enterprise systems, open source, teaching, and now AI, the recurring pattern across all of it is the same: identify structural change early, build practical systems around it, and help people and institutions adopt it.
That pattern has played out across 25+ years of work that has gone from neural network research in the early 1990s through enterprise consulting, more than eight years at Red Hat, and into my current role at Boston University since 2021, where I'm a Clinical Assistant Professor in the Faculty of Computing & Data Sciences and Technical Director of BU Spark!, a university experiential learning lab.
The throughline is systems thinking applied to institutional change. How do you move a large organization from knowing something is true to actually operating differently? That question is what got me into platform architecture, into open source community building, into teaching, and into the work I'm doing now around AI attribution and agentic systems.
Background
Faculty of Computing & Data Sciences / BU Spark!, Boston University
Faculty member and Technical Director for BU Spark!, a university experiential learning lab. Strategic technical leadership across ~65–70 industry projects serving roughly 600 students annually. Direct teaching load of roughly 360 students annually across data science and engineering courses. Current focus areas: the AI attribution framework, classroom interaction models, and GenAI integration methods.
Red Hat
Eight-plus years from Developer Advocate to RHEL Platform Architect, serving as the RHEL architect responsible for developer-facing tooling, languages, and libraries across the platform. Led the platform strategy behind Software Collections and the Modularity architecture that allowed Linux distributions to carry multiple versions of software without conflicts; that work became RHEL AppStreams. Helped redesign Fedora's governance model and served as an original Fedora Council member. Founded DevConf.US. Built and handed off DevNation and DevOpsDays Boston.
GE Corporate R&D / NetNumina-Keane / FishJump Consulting
Fifteen years across consulting, executive leadership, and early-stage startups. At GE R&D (via RHI Consulting), worked on speech recognition and automated news summarization. At NetNumina-Keane, progressed from consultant to VP Innovation with full P&L responsibility for a specialized consulting practice of roughly 400 people. Co-founded iBrowse (e-commerce with k-means clustering) and vrevo (vacation rental technology, COO). Founded FishJump Consulting, working across a large body of projects over roughly 15 years, spanning enterprise clients, startups, nonprofits, and public-sector organizations.
Independent / College
Started in philosophy, moved into computer science. Conducted self-directed AIDS prediction research using neural networks, with work supported by an undergraduate research grant that was in turn matched by Siena College (now Siena University), and presented at major mathematics conferences including JMM and MathFest. Featured in the Albany Times Union for applying emerging AI methods to epidemiological modeling.
Now
Publishing
A four-level taxonomy for describing human-AI collaboration, designed for journalism, academia, and professional practice, and positioned as an open standard similar to Creative Commons.
Teaching
Systematic protocols for integrating generative AI across data science coursework, balancing capability with educational integrity and professional responsibility.
Working on
The TRACE methodology adapts Agile principles for investigative journalism workflows. Center for Open Tools for Journalism (COTJ) addresses sustainability gaps in the journalism technology ecosystem.
Presence
Teaching
~600 students annually through BU Spark! industry projects. Roughly 360 students per year in direct coursework across data science, engineering, and AI integration courses.
Speaking
KubeCon EU 2025, KubeCon EU 2024, KubeCon NA 2022, Red Hat Summit (multiple), FOSDEM, DevConf.cz, DevNation, OSCON, and others. Full list →
Writing
Essays on AI attribution, agentic systems, privacy architecture, and institutional adoption. Published in Dr. Dobb's Journal, Cutter IT Journal, and on this site. Read the essays →
Contact
I take on a limited number of strategic consultations and collaborations around AI adoption, platform architecture, educational innovation, and institutional change. If something here connects with work you're doing, I'd like to hear about it.