Summary
Michael Sinclair is a data scientist and knowledge engineer with nine years of experience translating biomedical research into structured, queryable resources. With a PhD in Neuroscience and an MS in Biomedical Informatics, he builds registries, knowledge graphs, and APIs that integrate cancer research reagents, model systems, and experimentally derived biological signatures. He combines hands-on software skills in Python, SciPy, FastAPI and Java with ontology engineering using OWL, the OWL API and Protege to design metadata and logical axioms aligned with OBO Foundry standards. His work spans everything from global autocomplete search and graph databases to mining ChEMBL, PubChem, LINCS and Cellosaurus for interoperable datasets. Former roles include curating the Disease Ontology and developing automated ontology refactoring tools, showing a rare blend of wet-lab neuroscience insight and rigorous semantic modeling. Based in the Miami–Fort Lauderdale area, he’s known for turning complex biological knowledge into practical, reusable data products.
9 years of coding experience
3 years of employment as a software developer
The University of Utah
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at University of Miami
Bachelor of Engineering - BE, Chemical Engineering, Bachelor of Engineering - BE, Chemical Engineering at McGill University
Greek, Hebrew, Korean