Daniela Calvetti
James Wood Williamson Professor
Contact
daniela.calvetti@case.edu
216.368.2884
2145 Adelbert Rd, Room 202F
https://sites.google.com/case.edu/danielacalvetti/home
Other Information
Degree: PhD, University of North Carolina-Chapel Hill
About
Research interests:
- Large Scale Scientific Computing
- Computational Inverse Problems
- Uncertainty Quantification
Predictive Mathematical Models for:
- Neuroscience
- Metabolism
- Cellular Physiology
Selected recent publications:
- D. Calvetti E. Somersalo and A. Strang (2019) Hierachical Bayesian models and sparsity: 2magic. Inverse problems 35 035003.
- D. Calvetti, F. Pitolli, E. Somersalo and B. Vantaggi (2018) Bayes meets Krylov: Statistically inspired preconditioners for CGLS. SIAM Rev 60(2): pp.429-461.
- D. Calvetti and E. Somersalo (2019) Brain energy metabolism. In: Jaeger D., Jung R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY.
- D. Calvetti, A. Pascarella, F. Pitolli, E. Somersalo and B. Vantaggi (2018) Brain Activity Mapping from MEG Data via a Hierarchical Bayesian Algorithm with Automatic Depth Weighting. Brain Top. Aug 18, pp.1-31.
- D. Calvetti and E. Somersalo (2018) Inverse problems: from regularization to Bayesian inference. WIREs Computational Statistics e1427