Rollin Thomas is a Big Data Architect in the Data and Analytics Services group at the National Energy Research Scientific Computing Center (NERSC), located at Lawrence Berkeley National Laboratory. There he leads efforts to support users of Python on the Cray XC30 (Edison) and Cray XC40 (Cori) systems. He also works on enabling interactivity on Cori through the deployment of the Jupyter notebook service at NERSC. Rollin's graduate work focused on the application of Monte Carlo methods to radiative transfer simulations of multidimensional supernova atmospheres. After his PhD he worked on multiple supernova cosmology experiments at LBNL, where he contributed thousands of lines of Python code for scientific data management, automated data acquisition, and pipelined data reduction and analysis. He joined NERSC in 2015.