Natalya Rapstine is a research computing specialist in the DARC team at the Research Hub at Stanford GSB. Prior to joining the DARC team in 2020, Rapstine worked in government and industry in high performance computing developing parallel scientific code and applications. Her expertise is in high performance computing, parallel programming, scientific computing, machine learning, deep learning applications, and statistical methods in Python and R languages. She has a BS degree in earth science from Rice University and an MS degree in statistics from Colorado School of Mines.