Opening Tutorial: Mathematical and Statistical Foundations of Data Assimilation for Digital Twins | Poster Session

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Presenter: Melissa Adrian (University of Chicago)
Collaborator(s): Daniel Sanz-Alonso, Rebecca Willett
Title: Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
Presenter: Allison Fuller (Arizona State University)
Collaborator(s): Malena Español, Misha Kilmer
Title: Structure-Informed Bounds on Matrix Kronecker Rank
Presenter: Graham Thomas Pash (University of Texas, Austin)
Collaborator(s): Umberto Villa, David A. Hormuth II, Thomas E. Yankeelov, Karen Willcox
Title: Towards Predictive Digital Twins with Applications to Precision Oncology
Presenter: Zhongrui Wang (University of Wisconsin, Madison)
Collaborator(s): Chuanqi Chen, Nan Chen, Jin-long Wu
Title: CGKN: A Deep Learning Digital Twins Framework for Stochastic Modeling, Forecast, and Data Assimilation