Caterina Bigoni

Doctoral student

EPFL-SB-MATH-MCSS

MA-C2 – 585
caterina.bigoni@epfl.ch

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Biography

I obtained my Bachelor degree in Mathematical Engineering from Politecnico di Milano, Italy in 2013. During the last year, I spent one semester at Institut National Polytechnique de Grenoble, France for the Erasmus exchange program and I completed a thesis entitled “Wave equation in anisotropic media. Numerical application and stability analysis”.

In 2015, I received a Master degree in Computational Science and Engineering  from Ecole Polytechnique Fédérale de Lausanne. As part of my master program, I have done an internship at ABB, where I worked on Whitney forms in computational electromagnetism, and I worked on “Adaptive WENO methods based on non-polynomial reconstructions” under the supervision of Professor Hesthaven.

After graduation, I’ve joined  the MCSS Chair as a research assistant and, since January 2016, I am pursuing my PhD studies under the supervision of Prof. Hesthaven.

Research interests

Uncertainty quantification, Machine Learning Algorithms, Reduced Order Modeling, Numerical Methods for PDEs, Conservation Laws

Publications

Bigoni, Caterina, and Jan S. Hesthaven. “Adaptive WENO methods based on radial basis function reconstruction.” Journal of Scientific Computing 72.3 (2017): 986-1020.