Rate My Professor Sia Ghelichkhan

Ghelichkhan's research centers on developing and optimizing large-scale numerical models of Earth system processes, employing adjoint data assimilation techniques to tackle complex geoscientific challenges. Key foci include mantle convection and its influence on dynamic topography, gravity anomalies, and sea-level variations; continental-scale groundwater modeling for sustainable resource management; and glacial isostatic adjustment. As co-lead of the Geoscientific Adjoint Optimisation Platform (G-ADOPT), he integrates finite-element methods with inverse modeling to produce reproducible, observation-constrained simulations assimilating satellite geodesy and borehole data. Current projects encompass G-PREM, a three-dimensional dynamic reference Earth model for Cenozoic mantle evolution, and extensions of G-ADOPT to groundwater digital twins. Prominent publications feature 'Global distribution of sediment-hosted metals controlled by craton edge stability' (Nature Geoscience, 2020), 'Global mantle flow retrodictions for the early Cenozoic using an adjoint method: evolving dynamic topographies, deep mantle structures, flow trajectories and sublithospheric stresses' (Geophysical Journal International, 2021), 'Towards automatic finite-element methods for geodynamics via Firedrake' (Geoscientific Model Development, 2022), and 'Closing the budget of 20th century true polar wander' (Geophysical Journal International, 2025). His contributions earned the 2026 European Geosciences Union (EGU) Geodynamics Division Outstanding Early Career Scientist Award.