Homepage of Lorenzo Tamellini

I am currently a researcher at CNR-IMATI Pavia . Previously, I was a postdoc at the Department of Mathematics of Pavia University with prof. Giancarlo Sangalli , and at EPFL (Lausanne) with prof. Fabio Nobile (MATHICSE-CSQI group). Fabio Nobile was also my PhD advisor at Politecnico di Milano (MOX lab, Department of Mathematics). You can find more details on my full CV here (last update June 10, 2019).

This website was created using one of the amazing site templates designed by HTML5 UP
and released for free under the Creative Commons. Images courtesy of Unsplash.com, a collection of CC0 (public domain) images

Research Interests

  • Isogeometric Analysis (IGA): Approximation properties of splines/NURBS spaces; Collocation methods; Multipatch/trimmed volumes.
  • Uncertainty Quantification (UQ): Polynomial methods for forward and inverse high-dimensional uncertainty quantification problems for random PDEs; Optimized stochastic Galerkin and sparse grids Collocation methods; Proper Generalized Decomposition method; Bayesian update and maximum likelyhood methods; Global sensitivity analysis.
  • Computational Fluid Dynamics and Geophysics: numerical methods for Darcy and Navier-Stokes flows and for the geochemical compaction problem.

What am I currently working on

Short notes on the projects I am currently involved in

Sparse Grids Stochastic Collocation and MISC

Sparse grids Stochastic Collocation is a UQ methodology for solving PDEs with random coefficient, that requires to solve a set of un-coupled PDEs, for carefully selected values of the random coefficients. Building on sparse grids and multi-level methods, Multi-Index Stochastic Collocation (MISC) aims at simultaneously optimizing the computational grids with respect to the physical and the random variables.

Geochemical Compaction

In this work we consider the process with which sand on the bottom of the ocean gradually becomes rock, due to mechanical pressure and chemical reactions. We analyze the forward propagation of uncertainty through the model equations, perform sensitivity analysis and solve inverse problems with a Maximum Likelihood approach.

Isogeometric Analysis (IGA)

Collocation and sparse approaches for improving the performance of IGA methods.

Next travels

  • 4-7 November 2019 LIA COPDESC and Lions Magenes Days, Paris
  • 24-27 March 2020 SIAM UQ20, Munich
  • 3-15 May + 31 May-6 June 2020 ESI Thematic programme on Computational Uncertainty Quantification: Mathematical Foundations, Methodology & Data, Vienna
  • 19-24 July 2020 WCCM ECCOMAS 2020, Paris

Papers, software, teaching material

See the links below



Official versions

You can find links to the official versions of my papers e.g. on my


I develop and maintain the Sparse Grids Matlab kit, a Matlab library for quadrature and interpolation on sparse grids. It provides collocation points on bounded intervals (Gauss-Legendre, Clenshas-Curtis, Leja) and on the real line (Gauss-Hermite, Genz-Keister, Weighted-Leja), and can use Lagrange, Legendre, Chebyshev, Hermite polynomials. The current version is the 18-10 "Esperanza". You can find more information and download the Sparse Grids Matlab kit from the dedicated website https://sites.google.com/view/sparse-grids-kit.

Teaching Material

FrontUQ Workshop in Pavia, September 2018

FrontUQ 18 was held in Pavia, September 5-7, 2018 as follow-up meeting of FrontUQ 17, which was held in Munich in 2017.

This is a sequence of workshops supported by the GAMM-UQ activity group with the ambition to gather together mathematicians and practitioners working in the field of UQ to foster interaction, with focus on a specific topic each year, and a mixture of invited and contributed talks (no parallel sessions) as well as posters.

The edition in Pavia focused on subsurface environments (groundwatar, basin modeling, CO2 sequestration, reservoir engineering). More details can be found here. See also this website for the 2019 edition of FrontUQ, held in Pisa with focus on UQ for fluid dynamics

FrontUQ website theme picture courtesy of Michael Paraskevas [CC BY-SA 3.0], via Wikimedia Commons

Get in touch