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Mathematics of Cryo-Electron Microscopy
Mathematics of Data & Decisions| Speaker: | Amit Singer, Princeton University |
| Related Webpage: | https://web.math.princeton.edu/~amits/ |
| Location: | 1025 PDSB |
| Start time: | Wed, Oct 22 2025, 4:10PM |
Description
Cryo-EM is a Nobel Prize winning technology for determining 3-D biological molecular structures at high resolution. Reconstruction in cryo-EM is an inverse problem that involves many different fields of mathematics including statistical inference, optimization (convex and non-convex), numerical analysis, dimension reduction, representation theory, information theory, and more. We will discuss the mathematical and statistical foundation underlying computational methods for 3-D reconstruction, focusing on the challenges of reconstructing small size molecules and the reconstruction of flexible molecules. In passing, we will contrast modern deep learning algorithms with classical applied math and statistical methods.
This is a joint seminar with the Statistics Seminar.
