Profile

A career in numerical analysis, approximation and scientific collaboration.

A concise overview of appointments, education, research interests and academic service.

Biography

From Padova to an international research network.

Stefano De Marchi is a mathematician working in numerical analysis and approximation theory. His research connects multivariate polynomial approximation, radial basis functions, rational approximation, scientific computing, and applications in medical and scientific imaging.

He studied Mathematics and Applied Mathematics at the University of Padova and obtained a PhD in Computational Mathematics in 1994. After appointments at the Universities of Udine and Verona, he joined the University of Padova, where he became Full Professor of Numerical Analysis.

His work includes contributions to Padua points, stable kernel bases, greedy point selection, mapped and variably scaled kernels, barycentric rational interpolation, persistent homology and data reconstruction.

Current role

Since October 2025, Full Professor of Numerical Analysis at the Department of Medicine, University of Padova, with an international affiliation at Selçuk University.

Career

Academic timeline

  1. 1987

    Degree in Mathematics

    University of Padova.

  2. 1991

    Master in Applied Mathematics

    University of Padova.

  3. 1994

    PhD in Computational Mathematics

    Consorzio Nord-Orientale, University of Padova.

  4. 1995–2001

    University of Udine

    Assistant Professor of Numerical Analysis.

  5. 2001–2009

    University of Verona

    Assistant Professor and then Associate Professor of Numerical Analysis.

  6. 2009–2022

    University of Padova

    Associate Professor of Numerical Analysis.

  7. 2022–

    Full Professor

    University of Padova; Department of Medicine from October 2025.

Research interests

Polynomial and kernel approximation, rational interpolation, meshless methods, image reconstruction, persistent homology and neural approximation.

Coordination

UMI–TAA, Italian approximation networks and international scientific collaborations in approximation theory.

Academic service

Editorial work, conference organization, international collaborations, mentoring and doctoral supervision.

Beyond research

Mathematics, wine and endurance.

Scientific outreach, the culture of wine, long-distance running, swimming and historical mathematical curiosities are recurring interests.

Beyond the office
SommelierRunningSwimmingMath & wineOutreachHistory of mathematics