https://github.com/ml-evs/ml-evs
https://github.com/ml-evs/ml-evs
Last synced: 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/ml-evs/ml-evs
- Owner: ml-evs
- Created: 2023-02-14T17:36:47.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-28T11:56:39.000Z (6 months ago)
- Last Synced: 2025-01-22T19:45:06.220Z (4 months ago)
- Size: 15.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
I'm Matthew, a BEWARE Postdoctoral Research Fellow at [UCLouvain](https://uclouvain.be/en/research-institutes/imcn/modl) and [Matgenix](https://matgenix.com), broadly interested in accelerating materials discovery and design via machine learning, digital data management and open source scientific software.
### Current projects
- Data management systems that capture context for experimental materials chemistry [@datalab-org](https://github.com/datalab-org), [@datalab-industries](https://github.com/datalab-industries) & [@the-grey-group](https://github.com/the-grey-group), e.g., [datalab-org/datalab](https://github.com/datalab-org/datalab)
- Active learning workflows for inorganic materials discovery and design [@modl-uclouvain](https://github.com/modl-uclouvain)
- Automated and ML-accelerated workflows [@matgenix](https://github.com/matgenix)
- Designing collaborative infrastructure and standards for scientific ETL [@datatractor](https://github.com/datatractor) (formerly [@marda-alliance](https://github.com/marda-alliance)), e.g., [marda-alliance/metadata_extractors](https://github.com/marda-alliance/metadata_extractors)
- Web APIs for crystal structure databases [@Materials-Consortia](https://github.com/Materials-Consortia), e.g., [Materials-Consortia/OPTIMADE](https://github.com/Materials-Consortia/OPTIMADE), [Materials-Consortia/optimade-python-tools](https://github.com/Materials-Consortia/optimade-python-tools), [materialscloud-org/optimade-maker](https://github.com/materialscloud-org/optimade-maker)
- The [MADICES workshops](https://madices.github.io/) promoting machine-actionable data interoperability in the chemical sciences [@MADICES](https://github.com/MADICES)
Please reach out to me via the email on my [personal website](https://ml-evs.science) if you are interested in:
- Testing out or hosting a deployment of the [datalab](https://github.com/datalab-org/datalab) software for your research group or company
- Joining the datatractor/MaRDA metadata extractors working group, or [MADICES community](https://github.com/MADICES/) for materials & chemistry RDM
- Deploying your crystal structure data, or ingesting community data, with an OPTIMADE API