National Energy Technology Laboratory, Leidos Inc., Oct 2023 -

Postdoctoral Researcher, Materials Science Division

• Developed parallel TC-Python workflows to compute thermophysical properties of ∼100k alloys using CALPHAD


• Recommended alloys using multi-objective Bayesian Optimization to minimize CTE & brittle phase content

Argonne National Laboratory, Lemont, USA, Aug 2022 - Oct 2023

Postdoctoral Researcher, Materials Science Division

• Setup ML-based workflows to model the electrochemical properties of solid-state and redox-flow batteries


• Pending patent ’Multifunctional Coatings For Solid State Electrolyte Powders’ (Serial No. 18/514,980)

Idaho National Laboratory, Idaho Falls, USA, May 2021 - Aug 2021

Research Internship, Computational Mechanics and Materials Organisation

• esigned multi-scale simulations to model materials for structural and electrochemical applications


• Developed machine-learned interatomic potentials for hydrogen transport (speed ×350, within 8% of experimental diffusivity)