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Boris Landa is an Assistant Professor in the Applied Mathematics Program. His research focuses on geometric data analysis, statistical signal processing, data science, and machine learning, employing advanced methodologies to tackle complex mathematical problems and data interpretations. He engages in interdisciplinary studies that leverage mathematical principles to provide insights and solutions applicable in various scientific fields.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.