Join us at rstudio::conf(2022) to sharpen your R skills. | July 25-28th in D.C.
July 25-28th in D.C.
7/25 - 7/28 in D.C.
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January 30, 2020
A mathematician well-known to the R and other open-source software communities, Bryan has worked on many applied math projects in computational finance, health care, genomics, and other fields over the years. Bryan often thinks about methods that help simplify computation of large-scale problems and is the coauthor with Taylor Arnold and Michael Kane of the CRC Press textbook “A Computational Approach to Statistical Learning.” Bryan is also an avid kayaker, amateur mycologist and forager. His R packages include irlba and threejs.