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.
- Data management systems that capture context for experimental materials chemistry @datalab-org, @datalab-industries & @the-grey-group, e.g., datalab-org/datalab
- Active learning workflows for inorganic materials discovery and design @modl-uclouvain
- Automated and ML-accelerated workflows @matgenix
- Designing collaborative infrastructure and standards for scientific ETL @datatractor (formerly @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 datatractor/MaRDA metadata extractors working group, or MADICES community for materials & chemistry RDM
- Deploying your crystal structure data, or ingesting community data, with an OPTIMADE API