Hana Sevcikova

Hana works as a senior research scientist at the University of Washington’s Center for Statistics and the Social Sciences, in the area of statistical computing. She also works as a data scientist at the Puget Sound Regional Council in Seattle. She has been involved in projects advancing parallel computing in statistics. She contributed to the snow package which became the R core package parallel. She developed a methodology for fault tolerant and reproducible parallel computing, implemented in snowFT, as well as the first interface to the L’Ecuyer's random number generator, the rlecuyer package. Currently, she’s been working in the area of statistical demography, developing R packages used by the United Nations for projecting demographic indicators for all countries of the world.