Teams at UL Research Institutes

Lead full‑stack development of complex research platforms, set technical direction and architecture, integrate data pipelines and evaluation frameworks, mentor engineers, promote AI-assisted engineering practices (e.g., Claude Code), assist hiring/onboarding, and represent technical work across teams to deliver scalable, secure software for digital safety research.

Manage end-to-end technical project lifecycles for Digital Safety: define scope, plans, budgets, and risks; coordinate cross-functional teams and external partners; run status meetings, change control, compliance, stakeholder communication, and lessons-learned; deliver projects on time and within budget.

Lead and execute independent research programs on NLP and LLM safety, design and run experiments, secure funding, publish and present results, lead cross-functional teams, and develop evaluation tools and challenges to advance digital safety.