Postdoctoral Fellow Aerospace Engineering & Engineering Mechanics
Marco Tezzele holds an MSc in Applied Mathematics from University of Milan (Italy), and a PhD in Mathematical Analysis, Modelling, and Applications from SISSA, International School for Advanced Studies (Italy), obtained under the supervision of Prof. Gianluigi Rozza. His Industrial PhD grant was financed by Fincantieri S.p.A., the largest shipbuilder in Europe, and it focused on model order reduction and reduction in parameter space for large scale applications in naval engineering. As of December 2021, Marco Tezzele is a postdoctoral fellow at the Oden Institute for Computational Engineering and Sciences at UT Austin, where he works with Dr. Karen E. Willcox.
Marco works within the fields of applied mathematics, scientific machine learning, and digital twins. His research interests include the development of data-driven reduced order methods and parameter space reduction techniques. Currently Marco is working on a NASA's University Leadership Initiative project. He is developing a predictive digital twin of an autonomous drone used for cargo missions in an urban environment. This integrates reduced order modelling, uncertainty quantification, and real-world applications with economic and societal impacts.
ECCOMAS best PhD Thesis Award in the field of Computational Methods in Applied Sciences and Engineering of 2021
Anile-ECMI Prize for Mathematics in Industry 2023