Gonzalo G. de Diego

Marie-Curie Postdoctoral Fellow
E.T.S.I. Telecomunicación
Universidad Politécnica de Madrid (UPM), Spain

About Me

I am a Marie-Curie Fellow at the Universidad Politécnica de Madrid (UPM) in the School of Telecommunication Engineering. I am working in the Grupo de Simulación Numérica en Ciencias e Ingeniería (GSNCI), led by Prof Francisco Navarro, on Bayesian inverse problems in glaciology.

Previously, I was a Postdoctoral Research Associate from 2023 to 2026 at the Courant Institute of Mathematical Sciences (NYU) working with Prof. Georg Stadler on rheology discovery and sea ice dynamics as part of the Sea Ice MURI project.

I completed my PhD in 2023 at the Mathematical Institute (University of Oxford) under the supervision of Prof. Ian Hewitt and Prof. Patrick Farrell, focusing on viscous contact problems and free-boundary modeling in glaciology.

Research Interests

• Glaciology: Marine ice sheet dynamics, subglacial cavity formation, sea ice rheology.
• Numerical Analysis & PDE Constrained Optimization: Finite element methods, variational inequalities, inverse problems.
• Data-driven & Learned Rheologies: Inferring continuum models from particle scale dynamics.

My name

My complete name is Gonzalo González de Diego, where González is my first surname and de Diego my second. In Spain we use two surnames, one from the father and the other from the mother. For my academic papers, I write Gonzalo G. de Diego, with the G. playing the role of a middle name. Like the Mexican film director Alejandro G. Iñárritu!

Publications

Preprints

1. G.G. de Diego, F. Garcia, G. Stadler, K. Wang (2026).
   Transform before linearizing: robust Newton methods for singular p-Laplace and p-Stokes equations.
   [arXiv]

Peer-Reviewed Journal Articles

9. G.G. de Diego, G. Stadler (2026).
   Learning parameter-dependent shear viscosity from data, with application to sea and land ice.
   Journal of Computational Physics, 114971. [DOI] [arXiv]

10. G.G. de Diego, G. Stadler (2026).
    Non-Newtonian viscous fluid models with learned rheology accurately reproduce Lagrangian sea ice simulations.
    Physical Review Fluids, 11(1), 013301. [DOI] [arXiv]

11. D. Shapero, G.G. de Diego (2025).
    Numerical simulation of glacier terminus evolution using the dual action principle for momentum balance.
    Journal of Glaciology. [DOI]

12. G.G. de Diego, M. Gupta, S.A. Gering, R. Haris, G. Stadler (2024).
    Modeling sea ice in the marginal ice zone as a dense granular flow with rheology inferred from a discrete element model.
    Journal of Fluid Mechanics. [DOI] [arXiv]

13. G.G. de Diego, P.E. Farrell, I.J. Hewitt (2023).
    On the finite element approximation of a semicoercive Stokes variational inequality arising in glaciology.
    SIAM Journal on Numerical Analysis. [DOI] [arXiv]

14. G.G. de Diego, P.E. Farrell, I.J. Hewitt (2022).
    Numerical approximation of viscous contact problems applied to glacial sliding.
    Journal of Fluid Mechanics. [DOI] [arXiv]

15. F. Bertrand, D. Boffi, G.G. de Diego (2021).
    Convergence analysis of the scaled boundary finite element method for the Laplace equation.
    Advances in Computational Mathematics. [DOI] [arXiv]

16. G.G. de Diego, A. Palha, M. Gerritsma (2019).
    Inclusion of no-slip boundary conditions in the MEEVC scheme.
    Journal of Computational Physics. [DOI]

17. R. Bardera-Mora, M. A. Barcala-Montejano, A. Rodríguez-Sevillano, G. G. de Diego, M. Ruiz de Sotto (2015).
    A spectral analysis of laser Doppler anemometry turbulent flow measurements in a ship air wake.
    Proc. IMechE Part G: J. Aerospace Engineering. [DOI]

PhD Thesis

• G.G. de Diego (2023). Viscous contact problems in glaciology. DPhil Thesis, University of Oxford. [Oxford Research Archive]

Contact

Office: A302-3 in Escuela Técnica Superior de Ingenieros de Telecomunicación (ETSIT)
Address: Av. Complutense, 30, 28040 Madrid, Spain
Email: g.gonzalezd [at] upm.es