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Amit Saha is a Professor in the Department of Mathematics and the Program in Applied and Computational Mathematics (PACM) at Princeton University. He specializes in the field of applied mathematics, particularly focusing on statistical methods and algorithms related to cryo-electron microscopy and single particle reconstruction. His work integrates statistical learning techniques to enhance imaging processes and reconstruct 3D structures from limited data, promoting advancements in computational frameworks for biological research. Through his extensive research in the Center for Statistics and Machine Learning (CSML), he aims to bridge the gap between mathematical theories and practical applications in modern scientific inquiries.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.