Field-readiness needs analysis
SBIGlobal / Google Cloud FSRMapped 107 behavior rows into 25 survey items, 17 competencies, 12 measurement areas, 54 concept scores, 16 proficiency scores, and k=2-6 seller archetype clusters.
Google Cloud AI work
Research, teaching, and software for AI field readiness.
Google Cloud field teams are moving from AI awareness to AI execution. That shift needs someone who can turn ambiguous seller behavior into measurable competencies, score real conversations with evidence, teach modern LLM deployment, and ship working software. That is the through-line of my research, teaching, and applied AI work.
Current Focus
- Google Cloud AI field readiness: competencies, transcripts, scoring, coaching, and seller archetypes
- Research: computational content analysis, brand safety, Google Trends signals, and public attention
- Teaching: MSDS systems for LLM classification, vLLM, LoRA/QLoRA, Hugging Face, and evaluation
- Software: production-oriented workflows, evidence capture, health checks, and CSV/JSON exports
Education
- Ph.D., Mass Communication University of North Carolina at Chapel Hill May 2014
- Master of Arts, Advertising & Public Relations University of Alabama May 2011
- Bachelor of Arts, Advertising & Public Relations Pennsylvania State University May 2008
AI Technical Enablement Proof
Seller-readiness transcript demo
SBIGlobal / Google Cloud FSRBuilt a React, Express, and Zod workflow with Gemini/local fallback scoring, source-quote evidence, health/readiness checks, coaching outputs, and CSV/JSON exports.
LLM deployment courseware
CU Boulder MSDSShipped technical learning systems for MSDS teams and public learners: LLM classification, vLLM, LoRA/QLoRA, Hugging Face workflows, model serving, and production evaluation.
socialcontext.ai
socialcontext LLCFounded and operated an applied AI company for contextual media intelligence: brand safety, audience signals, agenda measurement, advertising context, and client-ready reporting.
Selected Publications
Inside a Social Media Brand Safety Algorithm
Jigsaw-style brand-safety auditAmerican Academy of Advertising Annual Conference
Toward a Tweet Typology
marketing-funnel content taxonomyJournal of Interactive Advertising
From Ads to Addiction
Google Trends advertising signalHawaii International Conference on System Sciences
Profile
Chris J. Vargo is a computational social scientist and associate professor at CU Boulder. He studies language, search, media, and platform behavior, then builds practical systems that turn those signals into measurement, coaching, and decision support. His current work connects Google Cloud AI enablement, MSDS teaching, and applied software production.