Michael Mayers
Scientific Data Architect III
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolMichael Mayers is a Scientific Data Architect with a decade of experience marrying wet lab expertise in chemistry and proteomics with pragmatic data engineering and architecture. With a PhD in Bioinformatics from Scripps Research and progressive roles at Scripps and TetraScience, he builds scalable data pipelines, leverages graph databases like Neo4j, and operationalizes ML-ready biological data on AWS. He is equally comfortable designing data models and writing Python/SQL for production, and brings hands-on lab insight that helps bridge experimental nuance and computational rigor. Known for using containerization and Elasticsearch to make complex biological datasets queryable and auditable, he focuses on reproducible, interoperable solutions that accelerate life-sciences workflows.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Scripps Research
Github Skills (35)
database10
variants9
webservice9
bioinformatics9
api8
annotations8
owl6
json-api6
monarchinitiative5
rdf5
yaml5
specification5
checker5
neo4j5
linkml5
Programming languages (5)
Github contributions (5)
SuLab/DrugMechDB
Oct 2019 - May 2021
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
Contributions:2 releases, 1 review, 346 commits in 1 year 7 months
databasencats-translator
mmayers12/data_tools
Oct 2019 - Apr 2021
Contributions:69 commits, 34 pushes, 1 branch in 1 year 6 months
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