Henry Wang
Henry is a lifelong builder and researcher.
His work spans research and production, grounded in a PhD in Computer Science and extending from public-health visualization and empirical systems work to large-scale data infrastructure, decision-support systems, and AI-enabled workflows. He is particularly interested in turning ambiguous questions into experiments, tools, and working systems.
PhD in Computer Science — University of Nottingham
Named researcher on EPSRC grants — combined funding over £1M
UK Global Talent — 2021
Work
Built AI-augmented systems across startup and research settings — from retrieval pipelines to agent-based workflows — where reliability and judgment mattered.
Designed data infrastructure that feeds machine learning and analytical systems, extracting signal from messy, real-world data at scale.
Shipped LLM-powered tools and decision-support systems that turned ambiguous questions into working prototypes, faster than traditional approaches allowed.
“A wealth of information creates a poverty of attention.”