I'm Matthew, a BEWARE Postdoctoral Research Fellow at UCLouvain and Matgenix, broadly interested in accelerating materials discovery and design via machine learning, digital data management and open source scientific software.

• Active learning workflows for inorganic materials discovery and design @modl-uclouvain
• Automated and ML-accelerated workflows @matgenix
• Data management systems that capture context for experimental materials chemistry @the-grey-group, e.g., the-grey-group/datalab
• Designing collaborative infrastructure and standards for scientific ETL @marda-alliance, e.g., marda-alliance/metadata_extractors
• Web APIs for crystal structure databases @Materials-Consortia, e.g., Materials-Consortia/OPTIMADE, Materials-Consortia/optimade-python-tools, materialscloud-org/optimade-maker
• The MADICES workshops promoting machine-actionable data interoperability in the chemical sciences @MADICES

Please reach out to me via the email on my personal website if you are interested in:

• Testing out or hosting a deployment of the datalab software for your research group or company
• Joining the MaRDA metadata extractors working group
• Deploying your crystal structure data, or ingesting community data, with an OPTIMADE API
• Benchmarking machine learned interatomic potentials on specific systems of interest