Asiyah Lin is a Senior Data Scientist Consultant with 11+ years bridging medicine, immunology, and biomedical informatics to deliver ontology-driven FAIR data and interoperability solutions for federal agencies and research institutes. She leads strategic design and implementation of knowledge graphs, metadata catalogs, and semantic architectures—most recently shaping the NIAID Data Ecosystem and supporting NCPI interoperability across NIH cloud platforms. Former FDA lead scientific reviewer and research fellow, she applies ontologies and ML for Real World Evidence, medical device safety, and text-mining to illuminate “dark” device data for regulatory decision-making. Comfortable coordinating cross-functional senior stakeholders, she mentors scientific data fellows while translating complex biomedical semantics into practical, auditable data ecosystems. Her uncommon synthesis of clinical training, wet-lab genomics experience, and semantic web expertise enables pragmatic solutions that make biomedical big data both FAIR and actionable.
11 years of coding experience
13 years of employment as a software developer
M.B., Pediatrics, M.B., Pediatrics at TongJi Medical College of HUST
Ph.D., Medical Informatics, Ph.D., Medical Informatics at Kobe University
Contributions:2 releases, 56 pushes, 2 tags in 2 years 6 months
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