Pacific Northwest National Laboratory
Richland, Washington, United States

Dr. Matthew Oster is a Data Scientist in the Applied Statistics and Computational Modeling group at Pacific Northwest National Laboratory (PNNL).  He is interested in optimization modeling, data engineering/visualization, and general decision support solutions.  Matt has led various tasks at PNNL ranging from generating data for the 2019 IEEE Visual Analytics Science and Technology (VAST) Challenge, to curating/analyzing the uncertainty in data for stand-off and in-transit UF6 cylinder enrichment discrimination, to designing/implementing data storage solutions for a transactive power system co-simulation yielding many terabytes of outputs across multiple HPC nodes.