Profile picture
Administrative data

Simone Deparis

simone.deparis@epfl.ch https://www.epfl.ch/labs/sci-sb-sd/professor-simone-deparis/

EPFL AVP-E CePRO
RLC D1 650 (Rolex Learning Center)
Station 20
CH-1015 Lausanne

EPFL SB MATH SCI-SB-SD
MA B2 477 (Bâtiment MA)
Station 8
1015 Lausanne

EPFL SB SMA-GE
MA B2 477 (Bâtiment MA)
Station 8
1015 Lausanne

EPFL SB SMA-GE
MA B2 477 (Bâtiment MA)
Station 8
1015 Lausanne

Expertise

Simone Deparis is a professor at EPFL specializing in applied mathematics, numerical analysis, and the didactics of university-level mathematics. His research spans computational modeling for biomedical applications and innovations in mathematics education, with a focus on equity, self-efficacy, and assessment reform in large STEM cohorts.

Mission

Our group conducts research at the intersection of applied mathematics and learning sciences. In applied mathematics, we focus on modeling and simulation of complex systems, particularly cardiovascular flows, using advanced numerical methods, model order reduction, and physics-informed machine learning. In parallel, we investigate teaching and learning in higher education, with an emphasis on first-year mathematics, innovative assessment practices, and the role of computational tools in fostering equity and student success.

Education

Applied Mathematics

| Numerical analysis of axisymmetric flows and methods for fluid-structure interaction arising in blood flow simulation

2001 – 2004 EPFL
Directed by Alfio Quarteroni

Applied Mathematics

|

1998 – 1999 Ecole Polytechnique Paris et EPFL

Mathematics

|

1992 – 1997 ETH Zurich

Professionals experiences

Post-doc

Post-doctoral fellow and associate in the Department of Mechanical Engineering

2004–2006

MIT

Awards

Credit Suisse Award for Best Teaching

EPFL

2018

Publications

Teaching & PhD

PhD Students

Fabio Marcinno, Manuela Pineros-Rodriguez, Micol Bassanini, Francesco Sala

Past EPFL PhD Students

Luca Pegolotti, Riccardo Tenderini

Past EPFL PhD Students as codirector

Paolo Crosetto, Adelmo Cristiano Innocenza Malossi, Gwenol Grandperrin, Radu Popescu, Claudia Maria Colciago, Davide Forti

Courses

Linear algebra (flipped classroom)

MATH-111(pi)

The purpose of the course is to introduce the basic notions of linear algebra and its applications. This class is given with a flipped design.

Teaching STEM: a problem solving approach

ENG-644

Problem solving is a core engineering skill. This course explores relevant heuristics, epistemologies, metacognitive skills and evidence-informed teaching strategies for developing problem solving skills that transfer from paper-based exercises to complex, real world engineering situations.

Past courses

Analysis 1, Linear Algebra, Numerical analysis,
Programming concepts in scientific computing,
Geometry, Numerical analysis and Computational Mathematics, Numerical approximation of partial differential equations