Founder, engineer, and researcher exploring how AI systems get the right context to make better decisions in real-world work.
Founder & CEO, GammaLex AI
I started by investigating why AI-generated work becomes difficult to trust after the fact: what evidence existed, what the system used, and whether its reasoning could be reconstructed.
That work exposed a larger problem: AI systems can reason well and still make poor decisions when they have the wrong context.
My work now explores how systems:
YenkLabs is where I do that work — my personal R&D lab, where I explore, prototype, question, write, fail, and change my mind.
Some experiments stay experiments. The ones that survive contact with real workflows, I take further through GammaLex.
Founder & CEO
Context Intelligence for AI systems working in real-world, high-consequence workflows — shared capabilities (assembly · memory · boundaries · validation · learning) developed across different applications, not a set of unrelated vertical products.
Legal AI, testing context across a matter
Dali began by asking whether AI-generated legal work could be verified. That investigation expanded into a harder question: whether the system had the right matter context in the first place. Now testing context across matters, documents, claims, evidence, chronology, and professional decisions. Open engine on GitHub; hosted review at dali.gammalex.com.
Healthcare AI, testing context across care
A different domain, a different set of constraints: INOO is testing context across conversations, patient history, prior visits, changing circumstances, and provider decisions.
YenkLabs — where I explore, question, prototype, and write. GammaLex — where promising ideas become real systems. Context Intelligence — the shared technical direction being developed. Dali / INOO — real-world applications pressure-testing those ideas under very different constraints. Exploration → development → real-world pressure testing, not a corporate hierarchy.
Board Member · New Mexico Economic Development Department
Appointed public member advising New Mexico's Technology & Innovation Office on AI, research commercialization, industry engagement, and technology strategy.
Industry Affiliate & Subcommittee
Collaborating with New Mexico's national laboratories — Sandia and Los Alamos — alongside universities, government, and industry to help strengthen the state's AI ecosystem through research partnerships, workforce development, and innovation initiatives.
Guest Lecturer, Mentor, & Partner · UNM
Supporting graduate researchers through invited talks and mentorship on trustworthy AI, context-aware agent architecture, and deploying AI responsibly in high-stakes domains.
AI systems are moving into decisions that affect rights, health, research, and public trust. My talks focus on what it takes to give those systems the right context — and keep human judgment in the loop when it matters most.
Speaker and mentor across AI, research, legal technology, and public-sector innovation.
Audiences leave with practical frameworks for:
Available for keynotes, guest lectures, panels, workshops, and executive briefings.
Keynotes · Guest Lectures · Panels · Workshops
Invite Yen to SpeakOpen-source engine, evaluation runners, and research tooling under yenklabs.
Open Evidence Corpus, citation benchmark, and verification taxonomy on Hugging Face.
Investigations into context, agent behavior, and the failures and corrections that reshape my thinking — including the earlier verification and evidence work that led here.
Citation benchmark seed sample, full evaluation run, and Evidence Package Specification.
Papers, talks, and formal releases will land here as they ship.
Coming soon
Hugging Face org: huggingface.co/yenklabs
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