EducationPhD, Emory University, 2012
MS, Politecnico di Milano, 2007
BS, Politecnico di Milano, 2005
Develops advanced mathematical models to extract knowledge from images
Professor Villa’s research interests lie in the computational and mathematical aspects of large-scale inverse problems, medical imaging, uncertainty quantification, optimal experimental design, and optimization under uncertainty. A strong component of his work includes developing scalable efficient algorithms for integrating data (images, experimental measurements or observations) and mathematical models with applications to biomedical and engineering relevant problems.
Professor Villa earned his Bachelor’s and Master in Mathematical Engineering from Politecnico di Milano, Italy, and his PhD in Mathematics from Emory University (Atlanta, GA) with Prof. Veneziani. He completed his postdoctoral training at the Center for Applied Scientific Computing of Lawrence Livermore National Laboratory.
Professor Villa joins the Electrical & System Engineering Department of Washington University in St. Louis from the Institute for Computational Engineering and Sciences of The University of Texas at Austin, where was a Research Associate in the Center for Computational Geosciences and Optimization led by Professor Ghattas.
Professor Villa is a member of the Society for Industrial and Applied Mathematics (SIAM) and of the SIAM Activity Group on Uncertainty Quantification. He also serves in the editorial board of the Numerical Linear Algebra with Applications journal.