Summary
Chih-hao Fang is a Lead AI/ML Engineer with a Ph.D. from Purdue and nine years of experience bridging cutting-edge research and production systems across academia and industry. He has driven measurable gains in commercial products—e.g., improving pricing-model accuracy and generalization at Amazon and building an LLM-based evaluation tool that won an international hackathon—while advancing novel ML methods such as supervised archetypal analysis and graph-based news framing. His work spans NLP, constrained and distributed optimization, causal RL, and efficient second-order training, and he has hands-on expertise implementing GPU kernels and scalable MapReduce tools. Now leading AI efforts at Optum, he combines rigorous research pedigree (Sigma Xi member) with a track record of shipping cost-efficient, explainable, and high-impact ML solutions in health and commerce.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Purdue University
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at National Tsing Hua University