Tom Peterka is a computer scientist at Argonne National Laboratory, scientist at the University of Chicago Consortium for Advanced Science and Engineering (CASE), adjunct assistant professor at the University of Illinois at Chicago, and fellow of the Northwestern Argonne Institute for Science and Engineering (NAISE). His research interests are in large-scale parallel in situ analysis of scientific data. Recipient of the 2017 DOE early career award and four best paper awards, Peterka has published over 100 peer-reviewed papers in conferences and journals that include ACM/IEEE SC, IEEE IPDPS, IEEE VIS, IEEE TVCG, and ACM SIGGRAPH. Peterka received his Ph.D. in computer science from the University of Illinois at Chicago in 2007, and he currently leads several DOE- and NSF-funded projects.
Data Analytics
Scientific Computing
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