Summary
Duncan Lang is a Professor of Statistics and Associate Dean for Graduate Programs at UC Davis with over two decades of experience advancing statistical computing, curriculum innovation, and data science education. He develops infrastructure and compilation tools for R—drawing on a long history of contributions to S/S4, Omegahat, GGobi, and the NIMBLE project—and is an author of books that translate web and XML technologies into practical data science workflows. Known for tackling foundational, "hard" problems that enable new methods and tooling, he has helped create roughly 100 R packages and applies LLVM-based compilation to push R performance and expressiveness. Equally committed to pedagogy, he modernizes statistics curricula to embed authentic computing practice, blending research, open-source engineering, and educational leadership from Mill Valley, California.
21 years of coding experience
12 years of employment as a software developer
PhD, Statistics, PhD, Statistics at University of California at Berkeley
Master of Arts (M.A.), Mathematics, Master of Arts (M.A.), Mathematics at University College Dublin