CV

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Education

• Ph.D. in Applied Mathematics, University of Zurich, 2020. Dissertation
• M.S. in Mathematics, University of Trieste and SISSA, 2016. Master Thesis
• B.S. in Mathematics, University of Milan–Bicocca, 2014.
• Diploma Liceo Scientifico Mascheroni, Bergamo, 2011.

Work experience

• 12/21–now: SISSA Postdoctoral Fellow
  • SISSA: International School of Advanced Studies - Trieste, Italy
  • Project: Model order reduction techniques for advection dominated problems
  • Group of prof. Gianluigi Rozza
• 10/20–11/21: Postdoctoral Fellow
  • INRIA Bordeaux - Team CARDAMOM
  • Projects: Stability of high order FEM with stabilization for advection problems, MOR for dispersive waves, exact solution of SW equations, high order methods for kinetic models for SW, high order entropy preserving/dissipative schemes
  • Supervisor: prof. Mario Ricchiuto
• 09/16–08/20: Research and Teaching Assistant
  • University of Zurich - Institute of Mathematics
  • Teaching at Bachelor, Master and PhD students in Mathematics and Computer Science
  • Supervisor: prof. Rémi Abgrall
• 09/10–08/16: Private Teacher
  • Mathematics and Physics classes for high school and university students
• 01/10–06/16: Theatrical technician
  • TACT International Act Festival Trieste
  • Teatro Stabile Sloveno, Trieste
  • Auditorium via Alberico da Rosciate, Bergamo
  • Teatro Qoelet, Bergamo
• 01/10–06/14: Video editor

Main Collaborators

• Gianluigi Rozza
• Mario Ricchiuto
• Rémi Abgrall
• Philipp Öffner

Co-tutoring

• Louis Petri (University of Mainz Master student)
• Pavan Pranjivan Mehta (SISSA PhD student)
• Ivan Prusak (SISSA PhD student)
• Gaia Buccino (Polimi Master student)
• Lorenzo Micalizzi (UZH PhD student)
• Mirco Ciallella (INRIA PhD student)
• Sixtine Michel (INRIA PhD student)

Skills

• Programming
  • python
  • Matlab
  • Fortran
  • Julia
• Languages
  • Italian (Native)
  • English (C1)
  • German (B2)
  • French (A1)

Reviewer

• Reviewer of Scientific Journals
  • JCP: Journal of Computational Physics
  • CAF: Computer and Fluids
  • M2AN: Mathematical Modelling and Numerical Analysis
  • MATCOM: Mathematics and COmputers in Simulation
  • AMC: Applied Mathematics and Computation
  • Fluids
  • ACOM: Advances in Computational Mathematics

Publications

Efficient iterative arbitrary high order methods: an adaptive bridge between low and high order


L. Micalizzi, D. Torlo and W. Boscheri. "Efficient iterative arbitrary high order methods: an adaptive bridge between low and high order." (2022) arXiv preprint, arXiv:2212.07783. PDF arXiv

An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations


I. Prusak, M. Nonino, D. Torlo, F. Ballarin and G. Rozza. "An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations." (2022) arXiv preprint, arXiv:2211.14528. PDF arXiv

A necessary condition for non oscillatory and positivity preserving time-integration schemes


T. Izgin, P. Öffner and D. Torlo. "A necessary condition for non oscillatory and positivity preserving time-integration schemes." (2022) arXiv preprint, arXiv:2211.08905. PDF arXiv

A new efficient explicit Deferred Correction framework: analysis and applications to hyperbolic PDEs and adaptivity


L. Micalizzi and D. Torlo. (2022). "A new efficient explicit Deferred Correction framework: analysis and applications to hyperbolic PDEs and adaptivity. " arXiv preprint, 2022. https://arxiv.org/abs/2210.02976. PDF arXiv

Spectral analysis of continuous FEM for hyperbolic PDEs: influence of approximation, stabilization, and time-stepping


Michel, S., Torlo, D., Ricchiuto, M. and Abgrall, R.. Spectral analysis of high order continuous FEM for hyperbolic PDEs on triangular meshes: influence of approximation, stabilization, and time-stepping. J Sci Comput 94, 49 (2023). PDF DOI

High order entropy preserving ADER-DG scheme


E. Gaburro, P. Öffner, M. Ricchiuto and D. Torlo. "High order entropy preserving ADER-DG scheme." Applied Mathematics and Computation, 440:127644, 2023. doi:10.1016/j.amc.2022.127644. PDF DOI

Arbitrary High Order WENO Finite Volume Scheme with Flux Globalization for Moving Equilibria Preservation


M. Ciallella, D. Torlo and M. Ricchiuto. (2022). "Arbitrary High Order WENO Finite Volume Scheme with Flux Globalization for Moving Equilibria Preservation. " arXiv preprint, 2022. https://arxiv.org/abs/2205.13315. PDF arXiv

Some preliminary results on a high order asymptotic preserving computationally explicit kinetic scheme


R. Abgrall and D. Torlo. (2022). "Some preliminary results on a high order asymptotic preserving computationally explicit kinetic scheme. " Communications in Mathematical Sciences, 20, 2, 297-326. https://dx.doi.org/10.4310/CMS.2022.v20.n2.a1. PDF DOI

Model order reduction strategies for weakly dispersive waves


D. Torlo and M. Ricchiuto. "Model order reduction strategies for weakly dispersive waves. " Mathematics and Computers in Simulation, (205), pages 997-1028, 2023. PDF DOI

An Arbitrary High Order and Positivity Preserving Method for the Shallow Water Equations


M. Ciallella, L. Micalizzi, P. Öffner and D. Torlo. (2022). "An Arbitrary High Order and Positivity Preserving Method for the Shallow Water Equations. " Computers & Fluids, 247, page 105630. PDF DOI

Analytical traveling vortex solutions of hyperbolic equations for validating very high order schemes


M. Ricchiuto and D. Torlo. (2021). "Analytical traveling vortex solutions of hyperbolic equations for validating very high order schemes. " arXiv preprint, https://arxiv.org/abs/2109.10183. PDF arXiv

Issues with Positivity-Preserving Patankar-type Schemes


D. Torlo, P. Öffner and H. Ranocha. (2022). "Issues with Positivity-Preserving Patankar-type Schemes. " Applied Numerical Mathematics, 182, 117-147. PDF DOI

Relaxation Deferred Correction Methods and their Applications to Residual Distribution Schemes


R. Abgrall, E. Le Mélédo, P. Öffner and D. Torlo. (2022). "Relaxation Deferred Correction Methods and their Applications to Residual Distribution Schemes. " The SMAI Journal of computational mathematics, Volume 8 (2022), pp. 125-160. doi:10.5802/smai-jcm.82 PDF DOI

Spectral analysis of continuous FEM for hyperbolic PDEs: influence of approximation, stabilization, and time-stepping


Michel, S., Torlo, D., Ricchiuto, M. and Abgrall, R.. Spectral Analysis of Continuous FEM for Hyperbolic PDEs: Influence of Approximation, Stabilization, and Time-Stepping. J Sci Comput 89, 31 (2021). https://doi.org/10.1007/s10915-021-01632-7 PDF DOI

DeC and ADER: Similarities, Differences and a Unified Framework


M. H. Veiga, P. Öffner, and D. Torlo. (2021). "DeC and ADER: Similarities, Differences and a Unified Framework." Journal of Scientific Computing, 87, 2 (2021). https://doi.org/10.1007/s10915-020-01397-5. PDF DOI

Arbitrary high-order, conservative and positivity preserving Patankar-type deferred correction schemes


P. Öffner and D. Torlo. (2020). "Arbitrary high-order, conservative and positivity preserving Patankar--type deferred correction schemes." Applied Numerical Mathematics, 153:15 – 34. PDF DOI

High Order Asymptotic Preserving Deferred Correction Implicit-Explicit Schemes for Kinetic Models


R. Abgrall, and D. Torlo. (2020). "High Order Asymptotic Preserving Deferred Correction Implicit-Explicit Schemes for Kinetic Models." SIAM Journal on Scientific Computing, 42(3): B816--B845. PDF DOI

Model Reduction for Advection Dominated Hyperbolic Problems in an ALE Framework: Offline and Online Phases


D. Torlo. (2020). "Model Reduction for Advection Dominated Hyperbolic Problems in an ALE Framework: Offline and Online Phases." arXiv preprint, arXiv:2003.13735. PDF arXiv

Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification


R. Crisovan, D. Torlo, R. Abgrall, and S. Tokareva. (2019). "Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification." Journal of Computational and Applied Mathematics, 348:466 – 489. PDF DOI

Weighted reduced order methods for parametrized partial differential equations with random inputs


Venturi, L., Torlo, D., Ballarin, F., Rozza, G. (2019). " Weighted Reduced Order Methods for Parametrized Partial Differential Equations with Random Inputs. " In: Canavero, F. (eds) Uncertainty Modeling for Engineering Applications. PoliTO Springer Series. Springer, Cham. https://doi.org/10.1007/978-3-030-04870-9_2 PDF DOI

Stabilized weighted reduced basis methods for parametrized advection dominated problems with random inputs


D. Torlo, F. Ballarin, and G. Rozza. (2018). "Stabilized weighted reduced basis methods for parametrized advection dominated problems with random inputs." SIAM/ASA Journal on Uncertainty Quantification, 6(4): 1475--1502. PDF DOI

Service and leadership

• 10/22–10/23: Member of SISSA Senate
• 12/14–08/16: Faculty Students’ Representative
• 01/13–06/16: Organizer of Bergamo Beatles Festival
• 10/10–06/11: High School Students’ Representative
• 10/10–09/14: Active member of Associazione Giovanile Mellow Mood