Ben Blaiszik is a research scientist at the University of Chicago and the Data Science and Learning Division at Argonne National Laboratory where he leads a number of projects that leverage Python to accelerate scientific research and to make large scale data and best in class machine learning models easily discoverable and usable. These include the NIST/CHiMaD Materials Data Facility, the DOE supported Data and Learning Hub for Science, and the NSF CSSI project Foundry. He is also a member of the founding council of the Materials Research Data Alliance, a group working to develop open, accessible, and interoperable materials data to fuel the Materials Genome Initiative.