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Armin Schwartzman's research encompasses both theoretical and practical aspects of statistical signal and image analysis across a variety of scientific applications. His interests include spatio-temporal high-dimensional data analysis, geometric statistics, and smooth Gaussian random fields, with applications in biomedicine, environmental science, neuroscience, genetics, and cosmology. Dr. Schwartzman has a strong educational background, having earned his bachelor's and master's degrees in electrical engineering from the Technion - Israel Institute of Technology and the California Institute of Technology, respectively, followed by a PhD in Statistics from Stanford University. He has experience working as an R&D engineer at Rockwell Semiconductor and Biosense Webster, and has held faculty positions in Biostatistics at Harvard University and Statistics at North Carolina State University.
Rockwell Semiconductor • USA
Worked on various R&D projects related to semiconductor technology.
Harvard University • USA
Held a faculty position in the Biostatistics department.
North Carolina State University • USA
Held a faculty position in the Statistics department.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).