Computational chemist (PhD) and research software engineer in Wellington, New Zealand. For over eight years I have developed simulation software for the statistical mechanics of adsorption systems (tensor-network and Monte Carlo methods) with 15+ peer-reviewed publications built on code I wrote or co-developed.
TeNeT – tensor-network renormalization (TRG / HOTRG / transfer matrix) for lattice models of adsorption systems. Built within a Russian Science Foundation project I supervised (tensors.susmost.com); powered calculations in 9 papers (Phys. Rev. E, Phys. Rev. B, J. Phys. Chem. C, EPL, ...)
FSMP-kMC – C++ kinetic Monte Carlo engine for the thermodynamics of rigid molecular crystals and adsorption layers (Phys. Chem. Chem. Phys., 2023)
HTN – hierarchical tensor networks; accompanies EPL 148, 61001 (2024). CI on Linux + Windows, ~92% test coverage
SuSMoST – Surface Science Modeling and Simulation Toolkit: pip install SuSMoST; first author of the accompanying paper (J. Comput. Chem., 2020)
hard-hexagon – Baxter's exact solution of the hard hexagon model as a pip-installable Python package
black-hole – a physically accurate black hole renderer built from first principles
Python (NumPy / SciPy, pytest, packaging) · C++ · Monte Carlo & tensor-network methods · GitHub Actions CI · DFT-informed lattice models · machine learning