Dmitry Duplyakin is a data scientist in Data Analysis and Visualization Group in the Computational Science Center at the National Renewable Energy Laboratory (NREL). He contributes to Machine Learning and data analysis aspects of research projects in such areas as wind energy assessment, geothermal reservoir modeling, and reinforcement learning for molecule design. Prior to NREL, he worked as a postdoctoral researcher in the School of Computing at the University of Utah, with the focus on quantifying operation and performance evaluation of cloud computing infrastructures. Dmitry has received a PhD in Computer Science from the University of Colorado-Boulder, where he researched methods for experiment design in high performance computing. In recent years, Dmitry presented his work at such conferences as USENIX ATC, USENIX OSDI, IEEE IPDPS, IEEE CLUSTER, among others. He has contributed to the work of program committees for such conferences as ACM/IEEE Supercomputing, IEEE IPDPS, Euro-Par and IEEE BigData, as well as co-chaired several cloud- and computing-centered workshops.