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Dorit Hammerling leads the Statistics and Data Science Section in the Institute for Mathematics Applied to Geosciences at the National Center for Atmospheric Research. Before joining NCAR she completed a postdoctoral fellowship in the analysis of massive data at the Statistical Applied Mathematical Sciences
Institute in North Carolina. She received a PhD in Engineering and MA in Statistics from the University of Michigan after having worked in high level control system design in industry for some years. Her research interests are in applied computational statistics, with a focus on large spatial-temporal datasets from climate models and satellite data, and their potential for compression.
Institute in North Carolina. She received a PhD in Engineering and MA in Statistics from the University of Michigan after having worked in high level control system design in industry for some years. Her research interests are in applied computational statistics, with a focus on large spatial-temporal datasets from climate models and satellite data, and their potential for compression.
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crossref(2024)
William S. Daniels,Jiayang Lyra Wang,Arvind P. Ravikumar,Matthew Harrison, Selina A. Roman-White,Fiji C. George,Dorit M. Hammerling
ENVIRONMENTAL SCIENCE & TECHNOLOGYno. 32 (2023): 11823-11833
PloS oneno. 4 (2023)
crossref(2023)
William Daniels, Jiayang (Lyra) Wang,Arvind Ravikumar,Matthew Harrison, Selina Roman-White, Fiji George,Dorit Hammerling
crossref(2023)
IEEE transactions on visualization and computer graphicsno. 99 (2023): 1-13
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