I'm Matthew, a Leverhulme Early Career Research Fellow at the Yusuf Hamied Department of Chemistry, University of Cambridge. I am broadly interested in accelerating materials discovery and design via machine learning, digital data management and open source scientific software.
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
Some projects
- Data management systems that capture context for experimental materials chemistry for re-use by humans, machines and agents @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 materials science 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