COMPUTATIONAL
SCIENTIST
From process
to performance.
Through computation.
A research direction built around physical questions, informed by experiment, simulation, and machine learning.
Processing conditions
and materials design
Structure across
scales and interfaces
Connecting structure
with material response
A process–structure–property perspective. Images are conceptual illustrations.
How do processing choices shape the materials we make? My work explores dry electrode manufacturing and extrusion, with an emphasis on physics-based models and their connection to material processing.
Inside dry electrode extrusion Manufacturing solid-state electrolytesMaterial behavior emerges from structure across scales. This theme connects characterization, computational representations of microstructure, and physical modeling—from hard carbon electrodes to fibrous paper materials.
Seeing electrode heterogeneity Across scales and materialsHow can data-driven models support scientific computation? Surrogate modeling and parameter optimization offer routes to interrogating manufacturing models and connecting simulation with prediction.
Calibrating granular models Learning the extrusion process
