Summary
Zihao Wang is a Senior Agentic AI Data Scientist with nine years of experience building production-grade AI systems that bridge research and product impact, currently driving AI innovation at Equifax. He holds a Ph.D. in Computer Science from Emory and an M.Eng. from Carnegie Mellon, and his work spans LLMs, NLP, deep learning, information retrieval, and risk monitoring. Zihao has led cross-functional teams to operationalize LLM-driven analytics and customer personalization—delivering query rewriting, customer embeddings, and profile prediction at scale for enterprises like Walgreens. His prior research and competition experience includes leading Emory’s Alexa Prize-winning socialbot and developing temporal reranking models at Johns Hopkins, reflecting a blend of strong systems engineering and novel algorithmic thinking. Outside of work he balances technical rigor with endurance pursuits—running, piano, and skiing—which mirror his iterative, performance-oriented approach to AI product development.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Emory University
Master of Science (M.Sc.) Civil Engineering, Master of Science (M.Sc.) Civil Engineering at Carnegie Mellon University
Bachelor's degree Civil Engineering, Bachelor's degree Civil Engineering at Dalian University of Technology
chinese/mandarin, English