David Jurgens is an Associate Professor at the University of Michigan with 13 years of experience at the intersection of computational social science, NLP, and data science. He builds large-scale, data-driven systems to analyze social media and population behavior, drawing on a research trajectory through Stanford, McGill, and industry labs like HRL and Microsoft. His work blends rigorous machine learning and statistical physics approaches with applied problems in political science, public health, and economics, reflecting a rare cross-disciplinary reach. Prior roles from Amazon and Sun to startup AI architecture show he pairs production-grade engineering with academic inquiry. Based in Ann Arbor, he holds a PhD in Computer Science from UCLA and is known for extracting subtle, latent signals from noisy time-series and text data that reveal otherwise hidden social dynamics.
13 years of coding experience
5 years of employment as a software developer
MS, Computer Science, MS, Computer Science at Washington University in St. Louis
PhD, Computer Science, PhD, Computer Science at University of California, Los Angeles
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