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Geometry and Integrability of Random Processes — NSF Award to University of Chicago (IL, $95,028)

Two major goals of probability theory are to address the question of how large complex systems work and to identify the geometry of their evolution. Probabilistic models are widespread in fields like biology, statistical physics, quantum mechanics, and machine learning. Examples include models of cancer growth, spread

Award titleGeometry and Integrability of Random Processes
Award ID2515172
AwardeeUniversity of Chicago
CityCHICAGO
StateIL
Amount obligated$95,028
Principal investigatorPromit Ghosal
ProgramPROBABILITY
Start date12/15/2024
AbstractTwo major goals of probability theory are to address the question of how large complex systems work and to identify the geometry of their evolution. Probabilistic models are widespread in fields like biology, statistical physics, quantum mechanics, and machine learning. Examples include models of cancer growth, spread of disease in population, governing principles of subatomic particles, black holes, neural networks, etc. The purpose of this project is to understand the geometry and intrinsic pr
SourceNSF Awards

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