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Amit Singh is a professor in the Department of Mathematics at Princeton University, where he also contributes to the Program in Applied and Computational Mathematics (PACM). His research focuses on the field of statistics and machine learning, with particular applications in cryo-electron microscopy and single particle reconstruction. Singh has developed innovative software tools, notably the ASPIRE software package, which facilitates high-performance computational modeling and analysis in his areas of expertise. His work is highly regarded in the mathematical and computational research communities, contributing significant advancements to statistical methodologies and computational techniques used in modern scientific research. Singh is actively involved in teaching and mentoring students at various academic levels.
Princeton University • Princeton, NJ
Teaches and conducts research in mathematics, statistics, and applied computational methods.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.