Viet Duong is a Ph.D. candidate in Computer Science at William & Mary with eight years of research and industry experience building language understanding and data-driven systems. His work spans semantic parsing and scalable inference engines for expressive, unscoped logical forms developed at the University of Rochester AI Lab, and hands-on data analytics internships in AT&T’s Chief Data Office. He combines strong theoretical foundations (PhD/MS in CS, BS in Mathematics and Data Science) with practical implementation experience in probabilistic and deductive inference systems. Based in Williamsburg, VA, Viet has bridged academic research and industry data practice, contributing to projects that make complex natural-language reasoning tractable and scalable. An understated strength is his cross-disciplinary focus—applying social-media data analysis skills to broader AI problems—bringing rigorous evaluation and real-world data insight to his research.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Rochester
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at William & Mary
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