Scientific computing for physical systems, from math to software

Research Fellow, TU Delft

Developing digital-twin and large-scale multiphysics simulation frameworks for offshore floating solar energy systems.

• Building the forecasting and uncertainty quantification layer of a digital ocean model that predicts wave, wind, and structural loads across a floating solar farm.
• Feeding directly into design decisions for offshore renewable energy infrastructure.
• Competitive research fellowship, supported by the Dutch Research Council (NWO).
• Built Opal.jl, an open-source data assimilation package spanning Kalman/particle filters and 4D-Var across SciML and Gridap/GridapROMs backends.

PhD Researcher, Monash University

Reduced-order methods and scientific software for parameterised PDEs, aimed at problems large enough that full-order simulation becomes computationally impractical.

• Built modern methods addressing the challenges posed by large-scale space-time problems, or ones defined on moving geometries.
• Authored GridapROMs.jl, an open-source Julia library for reduced-order modelling; its algorithms have achieved massive speedups over full-order simulations.

R&D Intern, CSEM

Topology optimisation software for compliant aerospace mechanisms, built against real compliance and stress constraints from the manufacturing side.