Computational scientist working at the intersection of multiphysics simulation, computational thermochemistry, and nuclear materials/reactor modeling.

I work at Idaho National Laboratory, where I build and apply computational methods for complex materials and reactor systems, with a focus on tools that connect physics, chemistry, and computation in a practical way.

• Multiphysics modeling for nuclear reactors and materials
• Computational thermodynamics and thermochemistry
• Surrogate modeling and reduced-order methods
• Machine learning for accelerating simulation workflows
• Scientific software for high-fidelity engineering applications

• Developing computational methods for thermodynamically informed multiphysics simulation
• Building acceleration methods for large-scale scientific computing
• Contributing to open scientific software used in reactor and materials modeling

I am especially interested in software and workflows around:

• MOOSE for multiphysics simulation
• Thermochimica for computational thermodynamics
• Scientific computing in C++, Python, and Fortran

• Molten salt reactors
• Nuclear fuels and materials
• Corrosion and thermochemical coupling
• Uncertainty-aware scientific computing