Daniela Calvetti

James Wood Williamson Professor


Yost Hall 308
Office Hours: Tuesday: 11:00 AM-12:00 PM
Wednesday: 2:00 PM-3:00 PM

Other Information

Classes: MATH 433 Numerical Solutions of Nonlinear Systems and Optimization: W 4:00 PM-6:30 PM

Degree: PhD, University of North Carolina-Chapel Hill

She received the “laurea” in Mathematics from the University of Bologna in 1980 and the PhD in Mathematics from the University of North Carolina at Chapel Hill in 1989. After appointments at the North Carolina State University, University of Colorado-Pueblo and the Stevens Institute of Technology, she joined the Department of Mathematics at Case Western Reserve University in 1997, where she is now the James Wood Williamson professor of mathematics. From 2008 to 2014 she was department chair. She is associated with the professional journals Mathematics of Computations, Inverse Problems and Frontiers in Neuroenergetics.  Her first research activity was in the area of numerical linear algebra and orthogonal polynomials, with special attention to structured matrices and iterative methods for large-scale linear systems. As she started working on the numerical solution of discrete inverse problem, her research began including elements of Bayesian inference to account for information of qualitative type into the solution.  As she became involved with modeling integrated metabolic system within the Center for Modeling Integrated Metabolic Systems, her research started to address the problem of constructing mathematical models and estimating the model parameters within a Bayesian inference framework. She is the author and coauthor of about 150 articles, and co-author, with E. Somersalo, of the books “Bayesian Scientific Computing: 10 Lectures on Subjective Computing” and “ Computational Mathematical Modeling: an Integrated Approach Across Scales”.

For a list of publications and further details, see http://www.case.edu/artsci/math/calvetti/