Wen-Ting (Joseph) Wang

I'm a machine learning engineer with nearly ten years of hands-on experience and a Ph.D. in Statistics. I build end-to-end systems that combine solid modeling with reliable data and infrastructure — and make sure they work at scale. Lately, I've been working on agentic workflows, RAG systems, and spatiotemporal modeling, blending practical engineering with research. My current focus is on building statistical boosters around pretrained models — things like conformal prediction and low-rank adapters — so that complex systems become both more trustworthy and easier to reason about.

More recently, I've been focusing on blockchain infrastructure and on-chain markets—using statistics, ML, and systems thinking to study market structure, execution, and liquidity, and to reconstruct and audit the infrastructure behind prices from public on-chain data.