Thomas Uram, ANL

Thomas D. Uram is a Computer Scientist in the Argonne Leadership Computing Facility. His research interests include large-scale parallel simulation, analysis, and machine learning, and next-generation computing architectures, in support of computational science. Most recently, he has worked to enable analysis of data from cosmology simulations via HACC’s CosmoTools in-situ framework, and reconstruction of neuronal connectivity in samples of brain tissue (“connectomics”).

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