معرفی
Dr. Dan Edidin is Professor of Mathematics at the University of Missouri's College of Arts and Science, holding a Ph.D. from MIT (1991). His research spans algebraic geometry, machine learning, and topological methods in data science.
Current investigations address phase retrieval problems over Lie groups, moduli space invariants, and orbit recovery algorithms. His work connects abstract algebraic geometry with applications in signal processing and cryo-electron microscopy reconstruction.
Recent publications develop theoretical frameworks for signal recovery from invariant moments, K-theoretic analyses of moduli stacks, and sample complexity bounds for cryo-EM imaging. This interdisciplinary research bridges pure mathematics with computational imaging challenges.
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