Experience

Machine Learning Scientist II

Materials Nexus

Scientific machine learning for materials discovery, spanning atomistic models, high-throughput computation, data and model workflows, evaluation, and platform-facing research software.

EPSRC Doctoral Prize Fellow

Imperial College London

Research in the Walsh Materials Design group on materials informatics, chemical representations, high-throughput computational screening and open-source research software.

Education

Research software

Maintainer

SMACT

Chemistry-aware screening and materials-informatics tools for computational materials design.

Author · maintainer

ElementEmbeddings

Tools for analysing, comparing and visualising high-dimensional representations of chemical elements and ionic species.

Contributor

SkipSpecies

Distributed representations of ionic species for learning chemical similarity from materials data.

Technical areas

Machine-learning interatomic potentials Materials property prediction High-throughput DFT and MD Scientific Python HPC Dataset generation and validation Model evaluation Research software engineering