Daniela Calvetti

James Wood Williamson Professor

Contact

daniela.calvetti@case.edu
216.368.2884
Yost Hall 308

Other Information

Degree: PhD, University of North Carolina-Chapel Hill

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

Download / View CV