Research Description
Amit is a Professor of Mathematics and a member of the Executive Committee of the Program in Applied and Computational Mathematics (PACM) at Princeton University. Amit’s current research is focused on developing algorithms for three-dimensional structuring of macromolecules using cryo-electron microscopy, and he has helped develop a software package called ASPIRE for this purpose. His lab spans a wide range of computational and mathematical expertise, from analysis and dimensionality reduction of high-dimensional data to signal and image processing, all of which require novel approaches to processing large datasets. His research has multiple applications in computer vision and imaging technologies.
Determining the structures of proteins and other large molecules is an essential step in the basic understanding of biological processes, as well as the first step in rational drug design. Recent technological breakthroughs in image acquisition have enabled single-particle cryo-electron microscopy to achieve reconstructions of biological complexes at near-atomic resolution, leading to its selection as method of the year 2015 by Nature Methods. Amit is developing fast, accurate and provably correct algorithms addressing some of the key problems in the field, such as resolving the structural variability of biological complexes, and three-dimensional ab-initio reconstruction of small proteins.
Amit has been awarded the Simons Investigator Award, the Presidential Early Career Award for Scientists and Engineers, the Alfred P. Sloan Research Fellowship and the Haim Nessyahu Prize for Best PhD in Mathematics in Israel. Amit received his PhD from Tel Aviv University.
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Google Scholar Profile
ASPIRE Project
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Data-Driven Discovery 
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Princeton University, Department of Applied & Computational Mathematics
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