JosephWang

Wen-Ting (Joseph) Wang

Machine Learning Engineer & Researcher

Ph.D. in Statistics • 10+ Years in Production ML

AI Product Engineering Research & Development End-to-End ML Systems

About Me

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.

Professional Experience

AI Product Engineering

Recent

Entity linking for news analytics; RAG + MCP Q&A for an energy client.

RAG NLP

E-commerce

Previous

Large-scale recommendation systems from scratch.

Recommendation Systems Large Scale

Data Science & ML

Earlier

NLP and time-series modeling across industries.

NLP Time Series

Research

Ongoing

Bayesian diffusion models; interpretable geospatial ML.

Bayesian Geospatial Diffusion

Technical Expertise

Machine Learning

Deep Learning NLP Time Series Recommendation Systems

Technologies

Python PySpark PyTorch TensorFlow AWS/Azure FastAPI/FastMCP Docker Kubernetes Solidity

Research Areas

Diffusion Models Geospatial ML Bayesian Methods

Publications

Google Scholar → · Software →