I build scientific Python tools for computational chemistry, molecular thermodynamics, chemical data, and molecular/materials modeling.
My work focuses on turning chemically meaningful models and datasets into reusable software: data-access packages, workflow tooling, geometric infrastructure for periodic structures, and ML-ready representations for chemistry.
Open-source directions: DeloneCommons for computational geometry and periodic-structure tools; muCommons for molecular thermodynamics, chemical data, QChem workflows, and ML-ready chemistry datasets.
Areas: scientific Python · computational chemistry · cheminformatics · molecular thermodynamics · ionic liquids · chemical data infrastructure · crystallography · periodic graphs · Voronoi/Laguerre methods · ML for chemistry

